// Copyright (c) 2009 The Chromium Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include <stdio.h>
#include <string.h>
//#include <sys/time.h> // for gettimeofday
#include <string>
#include "encodings/lang_enc.h"
#include "encodings/compact_lang_det/compact_lang_det.h"
#include "encodings/compact_lang_det/compact_lang_det_impl.h"
#include "encodings/compact_lang_det/getonescriptspan.h"
#include "encodings/compact_lang_det/letterscript_enum.h"
#include "encodings/compact_lang_det/tote.h"
#include "encodings/compact_lang_det/utf8propjustletter.h"
#include "encodings/compact_lang_det/utf8propletterscriptnum.h"
#include "encodings/compact_lang_det/utf8scannotjustletterspecial.h"
#include "encodings/compact_lang_det/cldutil_dbg.h"
#include "encodings/compact_lang_det/win/cld_basictypes.h"
#include "encodings/compact_lang_det/win/cld_commandlineflags.h"
#include "encodings/compact_lang_det/win/cld_google.h"
#include "encodings/compact_lang_det/win/cld_utf8statetable.h"
// Linker supplies the right tables
extern const UTF8PropObj compact_lang_det_generated_ctjkvz_b1_obj;
extern const cld::CLDTableSummary kCjkBiTable_obj;
extern const cld::CLDTableSummary kQuadTable_obj;
extern const cld::CLDTableSummary kLongWord8Table_obj;
DEFINE_bool(cld_html, false, "Print language spans in HTML on stderr");
DEFINE_bool(cld_forcewords, false, "Score all words, in addition to quads");
DEFINE_bool(cld_showme, false, "Put squeeze/repeat points into HTML text");
DEFINE_bool(cld_echotext, false, "Print each scriptspan to stderr");
DEFINE_int32(cld_textlimit, 160, "Examine only initial n KB of actual text");
// 20 quadgrams is about 80 bytes or about 12 words in real text
DEFINE_int32(cld_smoothwidth, 20, "Smoothing window width in quadgrams");
static const int kLangHintInitial = 12; // Boost language by N initially
static const int kLangHintBoost = 12; // Boost language by N/16 per quadgram
static const int kShortSpanThresh = 32; // Bytes
static const int kMaxSecondChanceLen = 1024; // Look at first 1K of short spans
static const int kCheapSqueezeTestThresh = 4096; // Only look for squeezing
// after this many text bytes
static const int kCheapSqueezeTestLen = 256; // Bytes to test to trigger sqz
static const int kSpacesTriggerPercent = 25; // Trigger sqz if >=25% spaces
static const int kPredictTriggerPercent = 67; // Trigger sqz if >=67% predicted
static const int kChunksizeDefault = 48; // Squeeze 48-byte chunks
static const int kSpacesThreshPercent = 25; // Squeeze if >=25% spaces
static const int kPredictThreshPercent = 40; // Squeeze if >=40% predicted
static const int kMaxSpaceScan = 32; // Bytes
static const int kGoodLang1Percent = 70;
static const int kGoodLang1and2Percent = 93;
static const int kShortTextThresh = 256; // Bytes
static const int kMinChunkSizeQuads = 4; // Chunk is at least four quads
static const int kMaxChunkSizeQuads = 1024; // Chunk is at most 1K quads
static const int kDefaultWordSpan = 256; // Scan at least this many initial
// bytes with word scoring
static const int kReallyBigWordSpan = 9999999; // Forces word scoring all text
static const int kMinReliableSeq = 50; // Record in seq if >= 50% reliable
static const int kPredictionTableSize = 4096; // Must be exactly 4096 for
// cheap compressor
//
// Generated by dsites 2008.07.07 from 10% of Base
//
// Three packed language probs, subscripted by Encoding
static const uint32 kEncodingHintProbs[] = {
0x00000000, // ASCII
0x18120cd5, // Latin2 POLISH.11 CZECH.5 HUNGARIAN.3
0x1d3a4bc9, // Latin3 AZERBAIJANI.10 BASQUE.3 CROATIAN.1
0x030819d4, // Latin4 ESTONIAN.11 ITALIAN.4 DUTCH.2
0x00000000, // ISO-8859-5
0x00003742, // Arabic ARABIC.12
0x00000000, // Greek
0x00000742, // Hebrew HEBREW.12
0x00002242, // Latin5 TURKISH.12
0x060419c9, // Latin6 ESTONIAN.10 FINNISH.3 GERMAN.1
0x00000942, // EUC-JP Japanese.12
0x00000942, // SJS Japanese.12
0x00000942, // JIS Japanese.12
0x00004642, // BIG5 ChineseT.12
0x00001142, // GB Chinese.12
0x46295fcd, // EUC-CN UIGHUR.10 MALAY.6 ChineseT.5
0x00000a42, // KSC Korean.12
0x00000000, // Unicode
0x03104674, // EUC ChineseT.9 SWEDISH.8 DUTCH.3
0x00000000, // CNS
0x0f1146c3, // BIG5-CP950 ChineseT.9 Chinese.5 SPANISH.4
0x00000942, // CP932 Japanese.12
0x00000000, // UTF8
0x00000000, // Unknown
0x00000000, // ASCII-7-bit
0x00000000, // KOI8R
0x00000000, // CP1251
0x00000000, // CP1252
0x00000000, // KOI8U
0x451d12cd, // CP1250 CZECH.10 CROATIAN.6 SLOVAK.5
0x0d06052a, // ISO-8859-15 FRENCH.9 GERMAN.8 PORTUGUESE.7
0x00002242, // CP1254 TURKISH.12
0x191516be, // CP1257 LITHUANIAN.8 LATVIAN.7 ESTONIAN.7
0x08003642, // ISO-8859-11 THAI.12 ITALIAN.1
0x00000000, // CP874
0x00003742, // CP1256 ARABIC.12
0x00000742, // CP1255 HEBREW.12
0x00000000, // ISO-8859-8-I
0x00000000, // VISUAL
0x00000000, // CP852
0x39001242, // CSN_369103 CZECH.12 ESPERANTO.1
0x00000000, // CP1253
0x00000000, // CP866
0x2e001944, // ISO-8859-13 ESTONIAN.12 ALBANIAN.3
0x08090a74, // ISO-2022-KR Korean.9 Japanese.8 ITALIAN.3
0x00001142, // GBK Chinese.12
0x4600113d, // GB18030 Chinese.11 ChineseT.7
0x00004642, // BIG5_HKSCS ChineseT.12
0x00000000, // ISO_2022_CN
0x00000000, // TSCII
0x00000000, // TAM
0x00000000, // TAB
0x00000000, // JAGRAN
0x00000000, // MACINTOSH
0x00000000, // UTF7
0x00000000, // BHASKAR
0x00000000, // HTCHANAKYA
0x090646ca, // UTF-16BE ChineseT.10 GERMAN.4 Japanese.2
0x00000000, // UTF-16LE
0x00000000, // UTF-32BE
0x00000000, // UTF-32LE
0x00000000, // X-BINARYENC
0x06001142, // HZ-GB-2312 Chinese.12 GERMAN.1
0x461109c2, // X-UTF8UTF8 Japanese.9 Chinese.5 ChineseT.3
0x00000000, // X-TAM-ELANGO
0x00000000, // X-TAM-LTTMBARANI
0x00000000, // X-TAM-SHREE
0x00000000, // X-TAM-TBOOMIS
0x00000000, // X-TAM-TMNEWS
0x00000000, // X-TAM-WEBTAMIL
0x00000000, // X-KDDI-Shift_JIS
0x00000000, // X-DoCoMo-Shift_JIS
0x00000000, // X-SoftBank-Shift_JIS
0x00000000, // X-KDDI-ISO-2022-JP
0x00000000, // X-SoftBank-ISO-2022-JP
};
COMPILE_ASSERT(arraysize(kEncodingHintProbs) == NUM_ENCODINGS,
kEncodingHintProbs_has_incorrect_size);
//
// Generated by dsites 2008.07.07 from 10% of Base
//
// Three packed language probs, subscripted by (anchor) language
static const uint32 kLanguageHintProbs[] = {
0x00000000, // ENGLISH
0x00000242, // DANISH DANISH.12
0x00000342, // DUTCH DUTCH.12
0x00000442, // FINNISH FINNISH.12
0x00000542, // FRENCH FRENCH.12
0x00000642, // GERMAN GERMAN.12
0x00000742, // HEBREW HEBREW.12
0x00000842, // ITALIAN ITALIAN.12
0x00000942, // Japanese Japanese.12
0x00000a42, // Korean Korean.12
0x51000b43, // NORWEGIAN NORWEGIAN.12 NORWEGIAN_N.2
0x00000c42, // POLISH POLISH.12
0x00000d42, // PORTUGUESE PORTUGUESE.12
0x00000000, // RUSSIAN
0x00000f42, // SPANISH SPANISH.12
0x00001042, // SWEDISH SWEDISH.12
0x00001142, // Chinese Chinese.12
0x00001242, // CZECH CZECH.12
0x00000000, // GREEK
0x47001442, // ICELANDIC ICELANDIC.12 FAROESE.1
0x00001542, // LATVIAN LATVIAN.12
0x00001642, // LITHUANIAN LITHUANIAN.12
0x00001742, // ROMANIAN ROMANIAN.12
0x00001842, // HUNGARIAN HUNGARIAN.12
0x00001942, // ESTONIAN ESTONIAN.12
0x00000000, // TG_UNKNOWN_LANGUAGE
0x00000000, // Unknown
0x00001c42, // BULGARIAN BULGARIAN.12
0x00001d42, // CROATIAN CROATIAN.12
0x1e001d46, // SERBIAN CROATIAN.12 SERBIAN.5
0x00000000, // IRISH
0x0f00203d, // GALICIAN GALICIAN.11 SPANISH.7
0x5e00213a, // TAGALOG TAGALOG.11 SOMALI.4
0x00002242, // TURKISH TURKISH.12
0x00002342, // UKRAINIAN UKRAINIAN.12
0x00000000, // HINDI
0x1c1e25d4, // MACEDONIAN MACEDONIAN.11 SERBIAN.4 BULGARIAN.2
0x00002642, // BENGALI BENGALI.12
0x00002742, // INDONESIAN INDONESIAN.12
0x00000000, // LATIN
0x2700293c, // MALAY MALAY.11 INDONESIAN.6
0x00000000, // MALAYALAM
0x00000000, // WELSH
0x00000000, // NEPALI
0x00000000, // TELUGU
0x00002e42, // ALBANIAN ALBANIAN.12
0x00000000, // TAMIL
0x00003042, // BELARUSIAN BELARUSIAN.12
0x00000000, // JAVANESE
0x00000000, // OCCITAN
0x375f3330, // URDU URDU.10 UIGHUR.7 ARABIC.4
0x41003436, // BIHARI BIHARI.10 MARATHI.10
0x00000000, // GUJARATI
0x0a4636b2, // THAI THAI.7 ChineseT.3 Korean.2
0x00003742, // ARABIC ARABIC.12
0x00003842, // CATALAN CATALAN.12
0x00003942, // ESPERANTO ESPERANTO.12
0x00003a42, // BASQUE BASQUE.12
0x00000000, // INTERLINGUA
0x00000000, // KANNADA
0x05060cca, // PUNJABI POLISH.10 GERMAN.4 FRENCH.2
0x00000000, // SCOTS_GAELIC
0x00003f42, // SWAHILI SWAHILI.12
0x00004042, // SLOVENIAN SLOVENIAN.12
0x00004142, // MARATHI MARATHI.12
0x00004242, // MALTESE MALTESE.12
0x00004342, // VIETNAMESE VIETNAMESE.12
0x00000000, // FRISIAN
0x12004543, // SLOVAK SLOVAK.12 CZECH.2
0x00004642, // ChineseT ChineseT.12
0x00000000, // FAROESE
0x00000000, // SUNDANESE
0x79004944, // UZBEK UZBEK.12 TAJIK.3
0x4d004a46, // AMHARIC AMHARIC.12 TIGRINYA.5
0x00004b42, // AZERBAIJANI AZERBAIJANI.12
0x00000000, // GEORGIAN
0x00000000, // TIGRINYA
0x00004e42, // PERSIAN PERSIAN.12
0x00000000, // BOSNIAN
0x00000000, // SINHALESE
0x00000000, // NORWEGIAN_N
0x00000000, // PORTUGUESE_P
0x00000000, // PORTUGUESE_B
0x00000000, // XHOSA
0x00000000, // ZULU
0x00000000, // GUARANI
0x00000000, // SESOTHO
0x00000000, // TURKMEN
0x7a005933, // KYRGYZ KYRGYZ.10 TATAR.7
0x00000000, // BRETON
0x00000000, // TWI
0x00000000, // YIDDISH
0x00000000, // SERBO_CROATIAN
0x00000000, // SOMALI
0x00005f42, // UIGHUR UIGHUR.12
0x00006042, // KURDISH KURDISH.12
0x00006142, // MONGOLIAN MONGOLIAN.12
0x051130c9, // ARMENIAN BELARUSIAN.10 Chinese.3 FRENCH.1
0x020f0521, // LAOTHIAN FRENCH.8 SPANISH.7 DANISH.6
0x64004e35, // SINDHI PERSIAN.10 SINDHI.9
0x00000000, // RHAETO_ROMANCE
0x00006642, // AFRIKAANS AFRIKAANS.12
0x00000000, // LUXEMBOURGISH
0x00006842, // BURMESE BURMESE.12
0x00002242, // KHMER TURKISH.12
0x88006a3c, // TIBETAN TIBETAN.11 DZONGKHA.6
0x00000000, // DHIVEHI
0x00000000, // CHEROKEE
0x00000000, // SYRIAC
0x00000000, // LIMBU
0x00000000, // ORIYA
0x00000000, // ASSAMESE
0x00000000, // CORSICAN
0x00000000, // INTERLINGUE
0x00007342, // KAZAKH KAZAKH.12
0x00000000, // LINGALA
0x00000000, // MOLDAVIAN
0x5f007645, // PASHTO PASHTO.12 UIGHUR.4
0x00000000, // QUECHUA
0x00000000, // SHONA
0x00007942, // TAJIK TAJIK.12
0x00000000, // TATAR
0x00000000, // TONGA
0x00000000, // YORUBA
0x00000000, // CREOLES_AND_PIDGINS_ENGLISH_BASED
0x00000000, // CREOLES_AND_PIDGINS_FRENCH_BASED
0x00000000, // CREOLES_AND_PIDGINS_PORTUGUESE_BASED
0x00000000, // CREOLES_AND_PIDGINS_OTHER
0x00000000, // MAORI
0x00000000, // WOLOF
0x00000000, // ABKHAZIAN
0x00000000, // AFAR
0x00000000, // AYMARA
0x00000000, // BASHKIR
0x00000000, // BISLAMA
0x00000000, // DZONGKHA
0x00000000, // FIJIAN
0x00000000, // GREENLANDIC
0x00000000, // HAUSA
0x00000000, // HAITIAN_CREOLE
0x00000000, // INUPIAK
0x00000542, // INUKTITUT FRENCH.12
0x00000000, // KASHMIRI
0x00000000, // KINYARWANDA
0x00000000, // MALAGASY
0x00000000, // NAURU
0x00000000, // OROMO
0x00000000, // RUNDI
0x00000000, // SAMOAN
0x00000000, // SANGO
0x344197d3, // SANSKRIT SANSKRIT.11 MARATHI.4 BIHARI.1
0x00000000, // SISWANT
0x00000000, // TSONGA
0x00000000, // TSWANA
0x00000000, // VOLAPUK
0x00000000, // ZHUANG
0x00000000, // KHASI
0x00000000, // SCOTS
0x00000000, // GANDA
0x00000000, // MANX
0x00000000, // MONTENEGRIN
// Add new language hints just before here (just use 0x00000000)
};
COMPILE_ASSERT(arraysize(kLanguageHintProbs) == NUM_LANGUAGES,
kLanguageHintProbs_has_incorrect_size);
//
// Generated by dsites 2008.07.07 from 10% of Base
//
typedef struct {
char key[4];
uint32 probs;
} HintEntry;
// Massaged TLD, followed by three packed language probs
// Hand-removed 4 items dsites 2008.07.15
static const int kTLDHintProbsSize = 201;
static const HintEntry kTLDHintProbs[kTLDHintProbsSize] = { // MaxRange 12
{{0x61,0x63,0x5f,0x5f}, 0x0a000945}, // ac__ Japanese.12 Korean.4
{{0x61,0x64,0x5f,0x5f}, 0x00003842}, // ad__ CATALAN.12
{{0x61,0x65,0x5f,0x5f}, 0x00003742}, // ae__ ARABIC.12
{{0x61,0x66,0x5f,0x5f}, 0x4e00763d}, // af__ PASHTO.11 PERSIAN.7
{{0x61,0x67,0x5f,0x5f}, 0x09000643}, // ag__ GERMAN.12 Japanese.2
{{0x61,0x69,0x5f,0x5f}, 0x0c180938}, // ai__ Japanese.11 HUNGARIAN.7 POLISH.2
{{0x61,0x6c,0x5f,0x5f}, 0x00002e42}, // al__ ALBANIAN.12
{{0x61,0x6e,0x5f,0x5f}, 0x6e00033d}, // an__ DUTCH.11 LIMBU.7
{{0x61,0x6f,0x5f,0x5f}, 0x05000d42}, // ao__ PORTUGUESE.12 FRENCH.1
{{0x61,0x71,0x5f,0x5f}, 0x05000f29}, // aq__ SPANISH.9 FRENCH.6
{{0x61,0x72,0x5f,0x5f}, 0x00000f42}, // ar__ SPANISH.12
{{0x61,0x73,0x5f,0x5f}, 0x0f120bcd}, // as__ NORWEGIAN.10 CZECH.6 SPANISH.5
{{0x61,0x74,0x5f,0x5f}, 0x00000642}, // at__ GERMAN.12
{{0x61,0x77,0x5f,0x5f}, 0x0f000345}, // aw__ DUTCH.12 SPANISH.4
{{0x61,0x78,0x5f,0x5f}, 0x00001042}, // ax__ SWEDISH.12
{{0x61,0x7a,0x5f,0x5f}, 0x00004b42}, // az__ AZERBAIJANI.12
{{0x62,0x61,0x5f,0x5f}, 0x00001d42}, // ba__ CROATIAN.12
{{0x62,0x62,0x5f,0x5f}, 0x00002842}, // bb__ LATIN.12
{{0x62,0x64,0x5f,0x5f}, 0x00002642}, // bd__ BENGALI.12
{{0x62,0x65,0x5f,0x5f}, 0x05000335}, // be__ DUTCH.10 FRENCH.9
{{0x62,0x66,0x5f,0x5f}, 0x00000542}, // bf__ FRENCH.12
{{0x62,0x67,0x5f,0x5f}, 0x00001c42}, // bg__ BULGARIAN.12
{{0x62,0x68,0x5f,0x5f}, 0x00003742}, // bh__ ARABIC.12
{{0x62,0x69,0x5f,0x5f}, 0x0f00053f}, // bi__ FRENCH.11 SPANISH.9
{{0x62,0x6a,0x5f,0x5f}, 0x00000542}, // bj__ FRENCH.12
{{0x62,0x6d,0x5f,0x5f}, 0x98043929}, // bm__ ESPERANTO.9 FINNISH.8 SISWANT.6
{{0x62,0x6e,0x5f,0x5f}, 0x00002942}, // bn__ MALAY.12
{{0x62,0x6f,0x5f,0x5f}, 0x00000f42}, // bo__ SPANISH.12
{{0x62,0x72,0x5f,0x5f}, 0x00000d42}, // br__ PORTUGUESE.12
{{0x62,0x74,0x5f,0x5f}, 0x00008842}, // bt__ DZONGKHA.12
{{0x62,0x77,0x5f,0x5f}, 0x06059ac4}, // bw__ TSWANA.9 FRENCH.6 GERMAN.5
{{0x62,0x79,0x5f,0x5f}, 0x00003024}, // by__ BELARUSIAN.9
{{0x62,0x7a,0x5f,0x5f}, 0x0f0a0924}, // bz__ Japanese.9 Korean.5 SPANISH.1
{{0x63,0x61,0x5f,0x5f}, 0x00000542}, // ca__ FRENCH.12
{{0x63,0x61,0x74,0x5f}, 0x00003842}, // cat_ CATALAN.12
{{0x63,0x64,0x5f,0x5f}, 0x06051224}, // cd__ CZECH.9 FRENCH.5 GERMAN.1
{{0x63,0x66,0x5f,0x5f}, 0x00000542}, // cf__ FRENCH.12
{{0x63,0x67,0x5f,0x5f}, 0x00000542}, // cg__ FRENCH.12
{{0x63,0x68,0x5f,0x5f}, 0x08050638}, // ch__ GERMAN.11 FRENCH.7 ITALIAN.2
{{0x63,0x69,0x5f,0x5f}, 0x00000542}, // ci__ FRENCH.12
{{0x63,0x6c,0x5f,0x5f}, 0x00000f42}, // cl__ SPANISH.12
{{0x63,0x6d,0x5f,0x5f}, 0x00000542}, // cm__ FRENCH.12
{{0x63,0x6e,0x5f,0x5f}, 0x00001142}, // cn__ Chinese.12
{{0x63,0x6f,0x5f,0x5f}, 0x00000f42}, // co__ SPANISH.12
// {{0x63,0x6f,0x6f,0x70}, 0x0f0509cd}, // coop Japanese.10 FRENCH.6 SPANISH.5
{{0x63,0x72,0x5f,0x5f}, 0x00000f42}, // cr__ SPANISH.12
{{0x63,0x75,0x5f,0x5f}, 0x00000f42}, // cu__ SPANISH.12
{{0x63,0x76,0x5f,0x5f}, 0x00000d42}, // cv__ PORTUGUESE.12
{{0x63,0x78,0x5f,0x5f}, 0x223a091f}, // cx__ Japanese.8 BASQUE.6 TURKISH.4
{{0x63,0x79,0x5f,0x5f}, 0x150622ba}, // cy__ TURKISH.8 GERMAN.4 LATVIAN.3
{{0x63,0x7a,0x5f,0x5f}, 0x00001242}, // cz__ CZECH.12
{{0x64,0x65,0x5f,0x5f}, 0x00000642}, // de__ GERMAN.12
{{0x64,0x6b,0x5f,0x5f}, 0x00000242}, // dk__ DANISH.12
{{0x64,0x6f,0x5f,0x5f}, 0x21000f42}, // do__ SPANISH.12 TAGALOG.1
{{0x64,0x7a,0x5f,0x5f}, 0x37000535}, // dz__ FRENCH.10 ARABIC.9
{{0x65,0x63,0x5f,0x5f}, 0x00000f42}, // ec__ SPANISH.12
// {{0x65,0x64,0x75,0x5f}, 0x2e0f3873}, // edu_ CATALAN.9 SPANISH.7 ALBANIAN.2
{{0x65,0x65,0x5f,0x5f}, 0x00001942}, // ee__ ESTONIAN.12
{{0x65,0x67,0x5f,0x5f}, 0x05003742}, // eg__ ARABIC.12 FRENCH.1
{{0x65,0x72,0x5f,0x5f}, 0x00000b42}, // er__ NORWEGIAN.12
{{0x65,0x73,0x5f,0x5f}, 0x38200fd4}, // es__ SPANISH.11 GALICIAN.4 CATALAN.2
{{0x65,0x74,0x5f,0x5f}, 0x39004a39}, // et__ AMHARIC.11 ESPERANTO.3
{{0x66,0x69,0x5f,0x5f}, 0x10000444}, // fi__ FINNISH.12 SWEDISH.3
{{0x66,0x6a,0x5f,0x5f}, 0x050489e0}, // fj__ FIJIAN.12 FINNISH.5 FRENCH.3
{{0x66,0x6f,0x5f,0x5f}, 0x00004742}, // fo__ FAROESE.12
{{0x66,0x72,0x5f,0x5f}, 0x00000542}, // fr__ FRENCH.12
{{0x67,0x61,0x5f,0x5f}, 0x00000542}, // ga__ FRENCH.12
{{0x67,0x64,0x5f,0x5f}, 0x061d05d5}, // gd__ FRENCH.11 CROATIAN.5 GERMAN.3
{{0x67,0x65,0x5f,0x5f}, 0x00004c2d}, // ge__ GEORGIAN.10
{{0x67,0x66,0x5f,0x5f}, 0x00000542}, // gf__ FRENCH.12
{{0x67,0x67,0x5f,0x5f}, 0x06002244}, // gg__ TURKISH.12 GERMAN.3
{{0x67,0x68,0x5f,0x5f}, 0x05000436}, // gh__ FINNISH.10 FRENCH.10
{{0x67,0x69,0x5f,0x5f}, 0x0f0538ce}, // gi__ CATALAN.10 FRENCH.7 SPANISH.6
{{0x67,0x6c,0x5f,0x5f}, 0x398a0238}, // gl__ DANISH.11 GREENLANDIC.7 ESPERANTO.2
{{0x67,0x6d,0x5f,0x5f}, 0x0600043e}, // gm__ FINNISH.11 GERMAN.8
{{0x67,0x6e,0x5f,0x5f}, 0x00000542}, // gn__ FRENCH.12
// {{0x67,0x6f,0x76,0x5f}, 0x05000f25}, // gov_ SPANISH.9 FRENCH.2
{{0x67,0x70,0x5f,0x5f}, 0x00000542}, // gp__ FRENCH.12
{{0x67,0x71,0x5f,0x5f}, 0x0f000547}, // gq__ FRENCH.12 SPANISH.6
{{0x67,0x73,0x5f,0x5f}, 0x00000942}, // gs__ Japanese.12
{{0x67,0x74,0x5f,0x5f}, 0x00000f42}, // gt__ SPANISH.12
{{0x68,0x6b,0x5f,0x5f}, 0x11004643}, // hk__ ChineseT.12 Chinese.2
{{0x68,0x6d,0x5f,0x5f}, 0x4606092e}, // hm__ Japanese.10 GERMAN.6 ChineseT.2
{{0x68,0x6e,0x5f,0x5f}, 0x00000f42}, // hn__ SPANISH.12
{{0x68,0x72,0x5f,0x5f}, 0x00001d42}, // hr__ CROATIAN.12
{{0x68,0x74,0x5f,0x5f}, 0x0f000542}, // ht__ FRENCH.12 SPANISH.1
{{0x68,0x75,0x5f,0x5f}, 0x00001842}, // hu__ HUNGARIAN.12
{{0x69,0x64,0x5f,0x5f}, 0x00002742}, // id__ INDONESIAN.12
{{0x69,0x65,0x5f,0x5f}, 0x050c1f24}, // ie__ IRISH.9 POLISH.5 FRENCH.1
{{0x69,0x6c,0x5f,0x5f}, 0x00000742}, // il__ HEBREW.12
{{0x69,0x6e,0x74,0x5f}, 0x0f060574}, // int_ FRENCH.9 GERMAN.8 SPANISH.3
{{0x69,0x6f,0x5f,0x5f}, 0x11090fd5}, // io__ SPANISH.11 Japanese.5 Chinese.3
{{0x69,0x71,0x5f,0x5f}, 0x60003744}, // iq__ ARABIC.12 KURDISH.3
{{0x69,0x72,0x5f,0x5f}, 0x00004e42}, // ir__ PERSIAN.12
{{0x69,0x73,0x5f,0x5f}, 0x00001442}, // is__ ICELANDIC.12
{{0x69,0x74,0x5f,0x5f}, 0x00000842}, // it__ ITALIAN.12
{{0x6a,0x65,0x5f,0x5f}, 0x29050328}, // je__ DUTCH.9 FRENCH.7 MALAY.5
{{0x6a,0x6d,0x5f,0x5f}, 0x040f0576}, // jm__ FRENCH.9 SPANISH.8 FINNISH.5
{{0x6a,0x6f,0x5f,0x5f}, 0x00003742}, // jo__ ARABIC.12
// {{0x6a,0x6f,0x62,0x73}, 0x0f060329}, // jobs DUTCH.9 GERMAN.8 SPANISH.6
{{0x6a,0x70,0x5f,0x5f}, 0x00000942}, // jp__ Japanese.12
{{0x6b,0x65,0x5f,0x5f}, 0x040f3fc3}, // ke__ SWAHILI.9 SPANISH.5 FINNISH.4
{{0x6b,0x69,0x5f,0x5f}, 0x04000643}, // ki__ GERMAN.12 FINNISH.2
{{0x6b,0x6d,0x5f,0x5f}, 0x00000542}, // km__ FRENCH.12
{{0x6b,0x70,0x5f,0x5f}, 0x00000a42}, // kp__ Korean.12
{{0x6b,0x72,0x5f,0x5f}, 0x00000a42}, // kr__ Korean.12
{{0x6b,0x77,0x5f,0x5f}, 0x00003742}, // kw__ ARABIC.12
{{0x6b,0x79,0x5f,0x5f}, 0x0500083f}, // ky__ ITALIAN.11 FRENCH.9
{{0x6b,0x7a,0x5f,0x5f}, 0x0000732d}, // kz__ KAZAKH.10
{{0x6c,0x62,0x5f,0x5f}, 0x05003747}, // lb__ ARABIC.12 FRENCH.6
{{0x6c,0x63,0x5f,0x5f}, 0x09000645}, // lc__ GERMAN.12 Japanese.4
{{0x6c,0x69,0x5f,0x5f}, 0x1600063d}, // li__ GERMAN.11 LITHUANIAN.7
{{0x6c,0x73,0x5f,0x5f}, 0x00005742}, // ls__ SESOTHO.12
{{0x6c,0x74,0x5f,0x5f}, 0x00001642}, // lt__ LITHUANIAN.12
{{0x6c,0x75,0x5f,0x5f}, 0x0600053d}, // lu__ FRENCH.11 GERMAN.7
{{0x6c,0x76,0x5f,0x5f}, 0x00001542}, // lv__ LATVIAN.12
{{0x6c,0x79,0x5f,0x5f}, 0x05003744}, // ly__ ARABIC.12 FRENCH.3
{{0x6d,0x61,0x5f,0x5f}, 0x3700053d}, // ma__ FRENCH.11 ARABIC.7
{{0x6d,0x63,0x5f,0x5f}, 0x00000542}, // mc__ FRENCH.12
{{0x6d,0x64,0x5f,0x5f}, 0x00001724}, // md__ ROMANIAN.9
{{0x6d,0x65,0x5f,0x5f}, 0x00001d42}, // me__ CROATIAN.12
{{0x6d,0x67,0x5f,0x5f}, 0x00000542}, // mg__ FRENCH.12
{{0x6d,0x6b,0x5f,0x5f}, 0x1c002543}, // mk__ MACEDONIAN.12 BULGARIAN.2
{{0x6d,0x6c,0x5f,0x5f}, 0x00000542}, // ml__ FRENCH.12
{{0x6d,0x6e,0x5f,0x5f}, 0x00006142}, // mn__ MONGOLIAN.12
{{0x6d,0x6f,0x5f,0x5f}, 0x110d4631}, // mo__ ChineseT.10 PORTUGUESE.8 Chinese.5
{{0x6d,0x71,0x5f,0x5f}, 0x00000542}, // mq__ FRENCH.12
{{0x6d,0x72,0x5f,0x5f}, 0x37000535}, // mr__ FRENCH.10 ARABIC.9
{{0x6d,0x73,0x5f,0x5f}, 0x090f06d5}, // ms__ GERMAN.11 SPANISH.5 Japanese.3
{{0x6d,0x74,0x5f,0x5f}, 0x00004242}, // mt__ MALTESE.12
{{0x6d,0x75,0x5f,0x5f}, 0x05000934}, // mu__ Japanese.10 FRENCH.8
{{0x6d,0x76,0x5f,0x5f}, 0x28000436}, // mv__ FINNISH.10 LATIN.10
{{0x6d,0x77,0x5f,0x5f}, 0x0611092a}, // mw__ Japanese.9 Chinese.8 GERMAN.7
{{0x6d,0x78,0x5f,0x5f}, 0x00000f42}, // mx__ SPANISH.12
{{0x6d,0x79,0x5f,0x5f}, 0x00002942}, // my__ MALAY.12
{{0x6d,0x7a,0x5f,0x5f}, 0x00000d42}, // mz__ PORTUGUESE.12
{{0x6e,0x61,0x5f,0x5f}, 0x06006644}, // na__ AFRIKAANS.12 GERMAN.3
{{0x6e,0x63,0x5f,0x5f}, 0x00000542}, // nc__ FRENCH.12
{{0x6e,0x65,0x5f,0x5f}, 0x8b000542}, // ne__ FRENCH.12 HAUSA.1
{{0x6e,0x66,0x5f,0x5f}, 0x00000542}, // nf__ FRENCH.12
{{0x6e,0x69,0x5f,0x5f}, 0x00000f42}, // ni__ SPANISH.12
{{0x6e,0x6c,0x5f,0x5f}, 0x00000342}, // nl__ DUTCH.12
{{0x6e,0x6f,0x5f,0x5f}, 0x51000b43}, // no__ NORWEGIAN.12 NORWEGIAN_N.2
{{0x6e,0x75,0x5f,0x5f}, 0x0300103b}, // nu__ SWEDISH.11 DUTCH.5
{{0x6f,0x6d,0x5f,0x5f}, 0x00003742}, // om__ ARABIC.12
{{0x70,0x61,0x5f,0x5f}, 0x00000f42}, // pa__ SPANISH.12
{{0x70,0x65,0x5f,0x5f}, 0x00000f42}, // pe__ SPANISH.12
{{0x70,0x66,0x5f,0x5f}, 0x00000542}, // pf__ FRENCH.12
{{0x70,0x67,0x5f,0x5f}, 0x00000f24}, // pg__ SPANISH.9
{{0x70,0x68,0x5f,0x5f}, 0x00002142}, // ph__ TAGALOG.12
{{0x70,0x6b,0x5f,0x5f}, 0x00003342}, // pk__ URDU.12
{{0x70,0x6c,0x5f,0x5f}, 0x30000c42}, // pl__ POLISH.12 BELARUSIAN.1
{{0x70,0x6e,0x5f,0x5f}, 0x04000644}, // pn__ GERMAN.12 FINNISH.3
{{0x70,0x72,0x5f,0x5f}, 0x00000f42}, // pr__ SPANISH.12
{{0x70,0x72,0x6f,0x5f}, 0x46050fd5}, // pro_ SPANISH.11 FRENCH.5 ChineseT.3
{{0x70,0x73,0x5f,0x5f}, 0x00003742}, // ps__ ARABIC.12
{{0x70,0x74,0x5f,0x5f}, 0x00000d42}, // pt__ PORTUGUESE.12
{{0x70,0x79,0x5f,0x5f}, 0x00000f42}, // py__ SPANISH.12
{{0x71,0x61,0x5f,0x5f}, 0x00003742}, // qa__ ARABIC.12
{{0x72,0x65,0x5f,0x5f}, 0x00000542}, // re__ FRENCH.12
{{0x72,0x6f,0x5f,0x5f}, 0x00001742}, // ro__ ROMANIAN.12
{{0x72,0x73,0x5f,0x5f}, 0x00001d42}, // rs__ CROATIAN.12
{{0x72,0x77,0x5f,0x5f}, 0x9000053e}, // rw__ FRENCH.11 KINYARWANDA.8
{{0x73,0x61,0x5f,0x5f}, 0x00003742}, // sa__ ARABIC.12
{{0x73,0x62,0x5f,0x5f}, 0x00000442}, // sb__ FINNISH.12
{{0x73,0x63,0x5f,0x5f}, 0x060f092f}, // sc__ Japanese.10 SPANISH.7 GERMAN.3
{{0x73,0x64,0x5f,0x5f}, 0x00003742}, // sd__ ARABIC.12
{{0x73,0x65,0x5f,0x5f}, 0x00001042}, // se__ SWEDISH.12
{{0x73,0x69,0x5f,0x5f}, 0x00004042}, // si__ SLOVENIAN.12
{{0x73,0x6b,0x5f,0x5f}, 0x12004543}, // sk__ SLOVAK.12 CZECH.2
{{0x73,0x6d,0x5f,0x5f}, 0x00000842}, // sm__ ITALIAN.12
{{0x73,0x6e,0x5f,0x5f}, 0x00000542}, // sn__ FRENCH.12
{{0x73,0x72,0x5f,0x5f}, 0x03001e44}, // sr__ SERBIAN.12 DUTCH.3
{{0x73,0x76,0x5f,0x5f}, 0x00000f42}, // sv__ SPANISH.12
{{0x73,0x79,0x5f,0x5f}, 0x00003742}, // sy__ ARABIC.12
{{0x74,0x63,0x5f,0x5f}, 0x0a2206cd}, // tc__ GERMAN.10 TURKISH.6 Korean.5
{{0x74,0x66,0x5f,0x5f}, 0x00000642}, // tf__ GERMAN.12
{{0x74,0x67,0x5f,0x5f}, 0x00000542}, // tg__ FRENCH.12
{{0x74,0x68,0x5f,0x5f}, 0x9e0936c9}, // th__ THAI.10 Japanese.3 SCOTS.1
{{0x74,0x6a,0x5f,0x5f}, 0x00007924}, // tj__ TAJIK.9
{{0x74,0x6c,0x5f,0x5f}, 0x060f0dcd}, // tl__ PORTUGUESE.10 SPANISH.6 GERMAN.5
{{0x74,0x6e,0x5f,0x5f}, 0x3700053e}, // tn__ FRENCH.11 ARABIC.8
{{0x74,0x6f,0x5f,0x5f}, 0x064609c5}, // to__ Japanese.9 ChineseT.7 GERMAN.6
{{0x74,0x70,0x5f,0x5f}, 0x06000944}, // tp__ Japanese.12 GERMAN.3
{{0x74,0x72,0x5f,0x5f}, 0x00002242}, // tr__ TURKISH.12
{{0x74,0x72,0x61,0x76}, 0x064509c3}, // trav Japanese.9 SLOVAK.5 GERMAN.4
{{0x74,0x74,0x5f,0x5f}, 0x0f00063e}, // tt__ GERMAN.11 SPANISH.8
{{0x74,0x77,0x5f,0x5f}, 0x00004642}, // tw__ ChineseT.12
{{0x74,0x7a,0x5f,0x5f}, 0x00003f42}, // tz__ SWAHILI.12
{{0x75,0x61,0x5f,0x5f}, 0x0000232d}, // ua__ UKRAINIAN.10
{{0x75,0x79,0x5f,0x5f}, 0x00000f42}, // uy__ SPANISH.12
{{0x75,0x7a,0x5f,0x5f}, 0x0000492d}, // uz__ UZBEK.10
{{0x76,0x61,0x5f,0x5f}, 0x060f0828}, // va__ ITALIAN.9 SPANISH.7 GERMAN.5
{{0x76,0x63,0x5f,0x5f}, 0x0d000939}, // vc__ Japanese.11 PORTUGUESE.3
{{0x76,0x65,0x5f,0x5f}, 0x00000f42}, // ve__ SPANISH.12
{{0x76,0x67,0x5f,0x5f}, 0x09000f43}, // vg__ SPANISH.12 Japanese.2
{{0x76,0x69,0x5f,0x5f}, 0x00002942}, // vi__ MALAY.12
{{0x76,0x6e,0x5f,0x5f}, 0x00004342}, // vn__ VIETNAMESE.12
{{0x76,0x75,0x5f,0x5f}, 0x00000642}, // vu__ GERMAN.12
{{0x77,0x73,0x5f,0x5f}, 0x4b0f0624}, // ws__ GERMAN.9 SPANISH.5 AZERBAIJANI.1
{{0x79,0x65,0x5f,0x5f}, 0x00003742}, // ye__ ARABIC.12
{{0x79,0x75,0x5f,0x5f}, 0x1e001d3d}, // yu__ CROATIAN.11 SERBIAN.7
{{0x7a,0x61,0x5f,0x5f}, 0x00006642}, // za__ AFRIKAANS.12
{{0x7a,0x6d,0x5f,0x5f}, 0x0b000435}, // zm__ FINNISH.10 NORWEGIAN.9
{{0x7a,0x77,0x5f,0x5f}, 0x3f00783e}, // zw__ SHONA.11 SWAHILI.8
};
// Statistically closest language, based on quadgram table
// Those that are far from other languges map to UNKNOWN_LANGUAGE
// Subscripted by Language
//
// From lang_correlation.txt and hand-edits
// sed 's/^\([^ ]*\) \([^ ]*\) coef=0\.\(..\).*$/
// (\3 >= kMinCorrPercent) ? \2 : UNKNOWN_LANGUAGE,
// \/\/ \1/' lang_correlation.txt >/tmp/closest_lang_decl.txt
//
static const int kMinCorrPercent = 24; // Pick off how close you want
// 24 catches PERSIAN <== ARABIC
// but not SPANISH <== PORTUGESE
static Language Unknown = UNKNOWN_LANGUAGE;
// Subscripted by Language
static const Language kClosestAltLanguage[] = {
(28 >= kMinCorrPercent) ? SCOTS : UNKNOWN_LANGUAGE, // ENGLISH
(36 >= kMinCorrPercent) ? NORWEGIAN : UNKNOWN_LANGUAGE, // DANISH
(31 >= kMinCorrPercent) ? AFRIKAANS : UNKNOWN_LANGUAGE, // DUTCH
(15 >= kMinCorrPercent) ? ESTONIAN : UNKNOWN_LANGUAGE, // FINNISH
(11 >= kMinCorrPercent) ? OCCITAN : UNKNOWN_LANGUAGE, // FRENCH
(17 >= kMinCorrPercent) ? LUXEMBOURGISH : UNKNOWN_LANGUAGE, // GERMAN
(27 >= kMinCorrPercent) ? YIDDISH : UNKNOWN_LANGUAGE, // HEBREW
(16 >= kMinCorrPercent) ? CORSICAN : UNKNOWN_LANGUAGE, // ITALIAN
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // Japanese
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // Korean
(41 >= kMinCorrPercent) ? NORWEGIAN_N : UNKNOWN_LANGUAGE, // NORWEGIAN
( 5 >= kMinCorrPercent) ? SLOVAK : UNKNOWN_LANGUAGE, // POLISH
(23 >= kMinCorrPercent) ? SPANISH : UNKNOWN_LANGUAGE, // PORTUGUESE
(33 >= kMinCorrPercent) ? BULGARIAN : UNKNOWN_LANGUAGE, // RUSSIAN
(28 >= kMinCorrPercent) ? GALICIAN : UNKNOWN_LANGUAGE, // SPANISH
(17 >= kMinCorrPercent) ? NORWEGIAN : UNKNOWN_LANGUAGE, // SWEDISH
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // Chinese
(42 >= kMinCorrPercent) ? SLOVAK : UNKNOWN_LANGUAGE, // CZECH
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // GREEK
(35 >= kMinCorrPercent) ? FAROESE : UNKNOWN_LANGUAGE, // ICELANDIC
( 7 >= kMinCorrPercent) ? LITHUANIAN : UNKNOWN_LANGUAGE, // LATVIAN
( 7 >= kMinCorrPercent) ? LATVIAN : UNKNOWN_LANGUAGE, // LITHUANIAN
( 4 >= kMinCorrPercent) ? LATIN : UNKNOWN_LANGUAGE, // ROMANIAN
( 4 >= kMinCorrPercent) ? SLOVAK : UNKNOWN_LANGUAGE, // HUNGARIAN
(15 >= kMinCorrPercent) ? FINNISH : UNKNOWN_LANGUAGE, // ESTONIAN
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // Ignore
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // Unknown
(33 >= kMinCorrPercent) ? RUSSIAN : UNKNOWN_LANGUAGE, // BULGARIAN
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // CROATIAN
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // SERBIAN
(24 >= kMinCorrPercent) ? SCOTS_GAELIC : UNKNOWN_LANGUAGE, // IRISH
(28 >= kMinCorrPercent) ? SPANISH : UNKNOWN_LANGUAGE, // GALICIAN
( 8 >= kMinCorrPercent) ? INDONESIAN : UNKNOWN_LANGUAGE, // TAGALOG
(29 >= kMinCorrPercent) ? AZERBAIJANI : UNKNOWN_LANGUAGE, // TURKISH
(28 >= kMinCorrPercent) ? RUSSIAN : UNKNOWN_LANGUAGE, // UKRAINIAN
(37 >= kMinCorrPercent) ? MARATHI : UNKNOWN_LANGUAGE, // HINDI
(29 >= kMinCorrPercent) ? BULGARIAN : UNKNOWN_LANGUAGE, // MACEDONIAN
(14 >= kMinCorrPercent) ? ASSAMESE : UNKNOWN_LANGUAGE, // BENGALI
(46 >= kMinCorrPercent) ? MALAY : UNKNOWN_LANGUAGE, // INDONESIAN
( 9 >= kMinCorrPercent) ? INTERLINGUA : UNKNOWN_LANGUAGE, // LATIN
(46 >= kMinCorrPercent) ? INDONESIAN : UNKNOWN_LANGUAGE, // MALAY
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // MALAYALAM
( 4 >= kMinCorrPercent) ? BRETON : UNKNOWN_LANGUAGE, // WELSH
( 8 >= kMinCorrPercent) ? HINDI : UNKNOWN_LANGUAGE, // NEPALI
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // TELUGU
( 3 >= kMinCorrPercent) ? ESPERANTO : UNKNOWN_LANGUAGE, // ALBANIAN
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // TAMIL
(22 >= kMinCorrPercent) ? UKRAINIAN : UNKNOWN_LANGUAGE, // BELARUSIAN
(15 >= kMinCorrPercent) ? SUNDANESE : UNKNOWN_LANGUAGE, // JAVANESE
(19 >= kMinCorrPercent) ? CATALAN : UNKNOWN_LANGUAGE, // OCCITAN
(27 >= kMinCorrPercent) ? PERSIAN : UNKNOWN_LANGUAGE, // URDU
(36 >= kMinCorrPercent) ? HINDI : UNKNOWN_LANGUAGE, // BIHARI
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // GUJARATI
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // THAI
(24 >= kMinCorrPercent) ? PERSIAN : UNKNOWN_LANGUAGE, // ARABIC
(19 >= kMinCorrPercent) ? OCCITAN : UNKNOWN_LANGUAGE, // CATALAN
( 4 >= kMinCorrPercent) ? LATIN : UNKNOWN_LANGUAGE, // ESPERANTO
( 3 >= kMinCorrPercent) ? GERMAN : UNKNOWN_LANGUAGE, // BASQUE
( 9 >= kMinCorrPercent) ? LATIN : UNKNOWN_LANGUAGE, // INTERLINGUA
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // KANNADA
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // PUNJABI
(24 >= kMinCorrPercent) ? IRISH : UNKNOWN_LANGUAGE, // SCOTS_GAELIC
( 7 >= kMinCorrPercent) ? KINYARWANDA : UNKNOWN_LANGUAGE, // SWAHILI
(28 >= kMinCorrPercent) ? SERBO_CROATIAN : UNKNOWN_LANGUAGE, // SLOVENIAN
(37 >= kMinCorrPercent) ? HINDI : UNKNOWN_LANGUAGE, // MARATHI
( 3 >= kMinCorrPercent) ? ITALIAN : UNKNOWN_LANGUAGE, // MALTESE
( 1 >= kMinCorrPercent) ? YORUBA : UNKNOWN_LANGUAGE, // VIETNAMESE
(15 >= kMinCorrPercent) ? DUTCH : UNKNOWN_LANGUAGE, // FRISIAN
(42 >= kMinCorrPercent) ? CZECH : UNKNOWN_LANGUAGE, // SLOVAK
// Original ( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // ChineseT
(24 >= kMinCorrPercent) ? CHINESE : UNKNOWN_LANGUAGE, // ChineseT
(35 >= kMinCorrPercent) ? ICELANDIC : UNKNOWN_LANGUAGE, // FAROESE
(15 >= kMinCorrPercent) ? JAVANESE : UNKNOWN_LANGUAGE, // SUNDANESE
(17 >= kMinCorrPercent) ? TAJIK : UNKNOWN_LANGUAGE, // UZBEK
( 7 >= kMinCorrPercent) ? TIGRINYA : UNKNOWN_LANGUAGE, // AMHARIC
(29 >= kMinCorrPercent) ? TURKISH : UNKNOWN_LANGUAGE, // AZERBAIJANI
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // GEORGIAN
( 7 >= kMinCorrPercent) ? AMHARIC : UNKNOWN_LANGUAGE, // TIGRINYA
(27 >= kMinCorrPercent) ? URDU : UNKNOWN_LANGUAGE, // PERSIAN
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // BOSNIAN
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // SINHALESE
(41 >= kMinCorrPercent) ? NORWEGIAN : UNKNOWN_LANGUAGE, // NORWEGIAN_N
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // PORTUGUESE_P
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // PORTUGUESE_B
(37 >= kMinCorrPercent) ? ZULU : UNKNOWN_LANGUAGE, // XHOSA
(37 >= kMinCorrPercent) ? XHOSA : UNKNOWN_LANGUAGE, // ZULU
( 2 >= kMinCorrPercent) ? SPANISH : UNKNOWN_LANGUAGE, // GUARANI
(29 >= kMinCorrPercent) ? TSWANA : UNKNOWN_LANGUAGE, // SESOTHO
( 7 >= kMinCorrPercent) ? TURKISH : UNKNOWN_LANGUAGE, // TURKMEN
( 8 >= kMinCorrPercent) ? KAZAKH : UNKNOWN_LANGUAGE, // KYRGYZ
( 5 >= kMinCorrPercent) ? FRENCH : UNKNOWN_LANGUAGE, // BRETON
( 3 >= kMinCorrPercent) ? GANDA : UNKNOWN_LANGUAGE, // TWI
(27 >= kMinCorrPercent) ? HEBREW : UNKNOWN_LANGUAGE, // YIDDISH
(28 >= kMinCorrPercent) ? SLOVENIAN : UNKNOWN_LANGUAGE, // SERBO_CROATIAN
(12 >= kMinCorrPercent) ? OROMO : UNKNOWN_LANGUAGE, // SOMALI
( 9 >= kMinCorrPercent) ? UZBEK : UNKNOWN_LANGUAGE, // UIGHUR
(15 >= kMinCorrPercent) ? PERSIAN : UNKNOWN_LANGUAGE, // KURDISH
( 6 >= kMinCorrPercent) ? KYRGYZ : UNKNOWN_LANGUAGE, // MONGOLIAN
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // ARMENIAN
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // LAOTHIAN
( 8 >= kMinCorrPercent) ? URDU : UNKNOWN_LANGUAGE, // SINDHI
(10 >= kMinCorrPercent) ? ITALIAN : UNKNOWN_LANGUAGE, // RHAETO_ROMANCE
(31 >= kMinCorrPercent) ? DUTCH : UNKNOWN_LANGUAGE, // AFRIKAANS
(17 >= kMinCorrPercent) ? GERMAN : UNKNOWN_LANGUAGE, // LUXEMBOURGISH
( 2 >= kMinCorrPercent) ? SCOTS : UNKNOWN_LANGUAGE, // BURMESE
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // KHMER
(45 >= kMinCorrPercent) ? DZONGKHA : UNKNOWN_LANGUAGE, // TIBETAN
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // DHIVEHI
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // CHEROKEE
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // SYRIAC
( 8 >= kMinCorrPercent) ? DUTCH : UNKNOWN_LANGUAGE, // LIMBU
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // ORIYA
(14 >= kMinCorrPercent) ? BENGALI : UNKNOWN_LANGUAGE, // ASSAMESE
(16 >= kMinCorrPercent) ? ITALIAN : UNKNOWN_LANGUAGE, // CORSICAN
( 5 >= kMinCorrPercent) ? INTERLINGUA : UNKNOWN_LANGUAGE, // INTERLINGUE
( 8 >= kMinCorrPercent) ? KYRGYZ : UNKNOWN_LANGUAGE, // KAZAKH
( 4 >= kMinCorrPercent) ? SWAHILI : UNKNOWN_LANGUAGE, // LINGALA
(11 >= kMinCorrPercent) ? RUSSIAN : UNKNOWN_LANGUAGE, // MOLDAVIAN
(19 >= kMinCorrPercent) ? PERSIAN : UNKNOWN_LANGUAGE, // PASHTO
( 5 >= kMinCorrPercent) ? AYMARA : UNKNOWN_LANGUAGE, // QUECHUA
( 5 >= kMinCorrPercent) ? KINYARWANDA : UNKNOWN_LANGUAGE, // SHONA
(17 >= kMinCorrPercent) ? UZBEK : UNKNOWN_LANGUAGE, // TAJIK
(13 >= kMinCorrPercent) ? BASHKIR : UNKNOWN_LANGUAGE, // TATAR
(11 >= kMinCorrPercent) ? SAMOAN : UNKNOWN_LANGUAGE, // TONGA
( 2 >= kMinCorrPercent) ? TWI : UNKNOWN_LANGUAGE, // YORUBA
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // CREOLES_AND_PIDGINS_ENGLISH_BASED
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // CREOLES_AND_PIDGINS_FRENCH_BASED
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // CREOLES_AND_PIDGINS_PORTUGUESE_BASED
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // CREOLES_AND_PIDGINS_OTHER
( 6 >= kMinCorrPercent) ? TONGA : UNKNOWN_LANGUAGE, // MAORI
( 3 >= kMinCorrPercent) ? OROMO : UNKNOWN_LANGUAGE, // WOLOF
( 1 >= kMinCorrPercent) ? MONGOLIAN : UNKNOWN_LANGUAGE, // ABKHAZIAN
( 8 >= kMinCorrPercent) ? SOMALI : UNKNOWN_LANGUAGE, // AFAR
( 5 >= kMinCorrPercent) ? QUECHUA : UNKNOWN_LANGUAGE, // AYMARA
(13 >= kMinCorrPercent) ? TATAR : UNKNOWN_LANGUAGE, // BASHKIR
( 3 >= kMinCorrPercent) ? ENGLISH : UNKNOWN_LANGUAGE, // BISLAMA
(45 >= kMinCorrPercent) ? TIBETAN : UNKNOWN_LANGUAGE, // DZONGKHA
( 4 >= kMinCorrPercent) ? TONGA : UNKNOWN_LANGUAGE, // FIJIAN
( 7 >= kMinCorrPercent) ? INUPIAK : UNKNOWN_LANGUAGE, // GREENLANDIC
( 3 >= kMinCorrPercent) ? AFAR : UNKNOWN_LANGUAGE, // HAUSA
( 3 >= kMinCorrPercent) ? OCCITAN : UNKNOWN_LANGUAGE, // HAITIAN_CREOLE
( 7 >= kMinCorrPercent) ? GREENLANDIC : UNKNOWN_LANGUAGE, // INUPIAK
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // INUKTITUT
( 4 >= kMinCorrPercent) ? HINDI : UNKNOWN_LANGUAGE, // KASHMIRI
(30 >= kMinCorrPercent) ? RUNDI : UNKNOWN_LANGUAGE, // KINYARWANDA
( 2 >= kMinCorrPercent) ? TAGALOG : UNKNOWN_LANGUAGE, // MALAGASY
(17 >= kMinCorrPercent) ? GERMAN : UNKNOWN_LANGUAGE, // NAURU
(12 >= kMinCorrPercent) ? SOMALI : UNKNOWN_LANGUAGE, // OROMO
(30 >= kMinCorrPercent) ? KINYARWANDA : UNKNOWN_LANGUAGE, // RUNDI
(11 >= kMinCorrPercent) ? TONGA : UNKNOWN_LANGUAGE, // SAMOAN
( 1 >= kMinCorrPercent) ? LINGALA : UNKNOWN_LANGUAGE, // SANGO
(32 >= kMinCorrPercent) ? MARATHI : UNKNOWN_LANGUAGE, // SANSKRIT
(16 >= kMinCorrPercent) ? ZULU : UNKNOWN_LANGUAGE, // SISWANT
( 5 >= kMinCorrPercent) ? SISWANT : UNKNOWN_LANGUAGE, // TSONGA
(29 >= kMinCorrPercent) ? SESOTHO : UNKNOWN_LANGUAGE, // TSWANA
( 2 >= kMinCorrPercent) ? ESTONIAN : UNKNOWN_LANGUAGE, // VOLAPUK
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // ZHUANG
( 1 >= kMinCorrPercent) ? MALAY : UNKNOWN_LANGUAGE, // KHASI
(28 >= kMinCorrPercent) ? ENGLISH : UNKNOWN_LANGUAGE, // SCOTS
(15 >= kMinCorrPercent) ? KINYARWANDA : UNKNOWN_LANGUAGE, // GANDA
( 7 >= kMinCorrPercent) ? ENGLISH : UNKNOWN_LANGUAGE, // MANX
( 0 >= kMinCorrPercent) ? Unknown : UNKNOWN_LANGUAGE, // MONTENEGRIN
};
COMPILE_ASSERT(arraysize(kClosestAltLanguage) == NUM_LANGUAGES,
kClosestAltLanguage_has_incorrect_size);
inline bool FlagFinish(int flags) {return (flags & kCLDFlagFinish) != 0;}
inline bool FlagSqueeze(int flags) {return (flags & kCLDFlagSqueeze) != 0;}
inline bool FlagRepeats(int flags) {return (flags & kCLDFlagRepeats) != 0;}
inline bool FlagTop40(int flags) {return (flags & kCLDFlagTop40) != 0;}
inline bool FlagShort(int flags) {return (flags & kCLDFlagShort) != 0;}
inline bool FlagHint(int flags) {return (flags & kCLDFlagHint) != 0;}
inline bool FlagUseWords(int flags) {return (flags & kCLDFlagUseWords) != 0;}
//------------------------------------------------------------------------------
// For --cld_html debugging output. Not thread safe
//------------------------------------------------------------------------------
static Language prior_lang = UNKNOWN_LANGUAGE;
static bool prior_unreliable = false;
//------------------------------------------------------------------------------
// End For --cld_html debugging output
//------------------------------------------------------------------------------
// Backscan to word boundary, returning how many bytes n to go back
// so that src - n is non-space ans src - n - 1 is space.
// If not found in kMaxSpaceScan bytes, return 0
int BackscanToSpace(const char* src, int limit) {
int n = 0;
limit = cld::minint(limit, kMaxSpaceScan);
while (n < limit) {
if (src[-n - 1] == ' ') {return n;} // We are at _X
++n;
}
return 0;
}
// Forwardscan to word boundary, returning how many bytes n to go forward
// so that src + n is non-space ans src + n - 1 is space.
// If not found in kMaxSpaceScan bytes, return 0
int ForwardscanToSpace(const char* src, int limit) {
int n = 0;
limit = cld::minint(limit, kMaxSpaceScan);
while (n < limit) {
if (src[n] == ' ') {return n + 1;} // We are at _X
++n;
}
return 0;
}
// This uses a cheap predictor to get a measure of compression, and
// hence a measure of repetitiveness. It works on complete UTF-8 characters
// instead of bytes, because three-byte UTF-8 Indic, etc. text compress highly
// all the time when done with a byte-based count. Sigh.
//
// To allow running prediction across multiple chunks, caller passes in current
// 12-bit hash value and int[4096] prediction table. Caller inits these to 0.
//
// Returns the number of *bytes* correctly predicted, increments by 1..4 for
// each correctly-predicted character.
//
// NOTE: Overruns by up to three bytes. Not a problem with valid UTF-8 text
//
int CountPredictedBytes(const char* isrc, int srclen, int* hash, int* tbl) {
int p_count = 0;
const uint8* src = reinterpret_cast<const uint8*>(isrc);
const uint8* srclimit = src + srclen;
int local_hash = *hash;
while (src < srclimit) {
int c = src[0];
int incr = 1;
// Pick up one char and length
if (c < 0xc0) {
// One-byte or continuation byte: 00xxxxxx 01xxxxxx 10xxxxxx
// Do nothing more
} else if ((c & 0xe0) == 0xc0) {
// Two-byte
c = (c << 8) | src[1];
incr = 2;
} else if ((c & 0xf0) == 0xe0) {
// Three-byte
c = (c << 16) | (src[1] << 8) | src[2];
incr = 3;
} else {
// Four-byte
c = (c << 24) | (src[1] << 16) | (src[2] << 8) | src[3];
incr = 4;
}
src += incr;
int p = tbl[local_hash]; // Prediction
tbl[local_hash] = c; // Update prediction
p_count += (c == p); // Count good predictions
local_hash = ((local_hash << 4) ^ c) & 0xfff;
}
*hash = local_hash;
return p_count;
}
// Counts number of spaces; a little faster than one-at-a-time
// Doesn't count odd bytes at end
int CountSpaces4(const char* src, int src_len) {
int s_count = 0;
for (int i = 0; i < (src_len & ~3); i += 4) {
s_count += (src[i] == ' ');
s_count += (src[i+1] == ' ');
s_count += (src[i+2] == ' ');
s_count += (src[i+3] == ' ');
}
return s_count;
}
// Remove words of text that have more than half their letters predicted
// correctly by our cheap predictor, moving the remaining words in-place
// to the front of the input buffer.
//
// To allow running prediction across multiple chunks, caller passes in current
// 12-bit hash value and int[4096] prediction table. Caller inits these to 0.
//
// Return the new, possibly-shorter length
//
// Result Buffer ALWAYS has leading space and trailing space space space NUL,
// if input does
//
int CheapRepWordsInplace(char* isrc, int srclen, int* hash, int* tbl) {
const uint8* src = reinterpret_cast<const uint8*>(isrc);
const uint8* srclimit = src + srclen;
char* dst = isrc;
int local_hash = *hash;
char* word_dst = dst; // Start of next word
int good_predict_bytes = 0;
int word_length_bytes = 0;
while (src < srclimit) {
int c = src[0];
int incr = 1;
*dst++ = c;
if (c == ' ') {
if ((good_predict_bytes * 2) > word_length_bytes) {
// Word is well-predicted: backup to start of this word
dst = word_dst;
if (FLAGS_cld_showme) {
// Mark the deletion point with period
// Don't repeat multiple periods
// Cannot mark with more bytes or may overwrite unseen input
if ((isrc < (dst - 2)) && (dst[-2] != '.')) {
*dst++ = '.';
*dst++ = ' ';
}
}
}
word_dst = dst; // Start of next word
good_predict_bytes = 0;
word_length_bytes = 0;
}
// Pick up one char and length
if (c < 0xc0) {
// One-byte or continuation byte: 00xxxxxx 01xxxxxx 10xxxxxx
// Do nothing more
} else if ((c & 0xe0) == 0xc0) {
// Two-byte
*dst++ = src[1];
c = (c << 8) | src[1];
incr = 2;
} else if ((c & 0xf0) == 0xe0) {
// Three-byte
*dst++ = src[1];
*dst++ = src[2];
c = (c << 16) | (src[1] << 8) | src[2];
incr = 3;
} else {
// Four-byte
*dst++ = src[1];
*dst++ = src[2];
*dst++ = src[3];
c = (c << 24) | (src[1] << 16) | (src[2] << 8) | src[3];
incr = 4;
}
src += incr;
word_length_bytes += incr;
int p = tbl[local_hash]; // Prediction
tbl[local_hash] = c; // Update prediction
if (c == p) {
good_predict_bytes += incr; // Count good predictions
}
local_hash = ((local_hash << 4) ^ c) & 0xfff;
}
*hash = local_hash;
if ((dst - isrc) < (srclen - 3)) {
// Pad and make last char clean UTF-8 by putting following spaces
dst[0] = ' ';
dst[1] = ' ';
dst[2] = ' ';
dst[3] = '\0';
} else if ((dst - isrc) < srclen) {
// Make last char clean UTF-8 by putting following space off the end
dst[0] = ' ';
}
return static_cast<int>(dst - isrc);
}
// Remove portions of text that have a high density of spaces, or that are
// overly repetitive, squeezing the remaining text in-place to the front of the
// input buffer.
//
// Squeezing looks at density of space/prediced chars in fixed-size chunks,
// specified by chunksize. A chunksize <= 0 uses the default size of 48 bytes.
//
// Return the new, possibly-shorter length
//
// Result Buffer ALWAYS has leading space and trailing space space space NUL,
// if input does
//
int CompactLangDetImpl::CheapSqueezeInplace(char* isrc,
int srclen,
int ichunksize) {
char* src = isrc;
char* dst = src;
char* srclimit = src + srclen;
bool skipping = false;
int hash = 0;
// Allocate local prediction table.
int* predict_tbl = new int[kPredictionTableSize];
memset(predict_tbl, 0, kPredictionTableSize * sizeof(predict_tbl[0]));
int chunksize = ichunksize;
if (chunksize == 0) {chunksize = kChunksizeDefault;}
int space_thresh = (chunksize * kSpacesThreshPercent) / 100;
int predict_thresh = (chunksize * kPredictThreshPercent) / 100;
while (src < srclimit) {
int remaining_bytes = srclimit - src;
int len = cld::minint(chunksize, remaining_bytes);
int space_n = CountSpaces4(src, len);
int predb_n = CountPredictedBytes(src, len, &hash, predict_tbl);
if ((space_n >= space_thresh) || (predb_n >= predict_thresh)) {
// Skip the text
if (!skipping) {
// Keeping-to-skipping transition; do it at a space
int n = BackscanToSpace(dst, static_cast<int>(dst - isrc));
dst -= n;
skipping = true;
if (FLAGS_cld_showme) {
// Mark the deletion point with black square U+25A0
*dst++ = 0xe2;
*dst++ = 0x96;
*dst++ = 0xa0;
*dst++ = ' ';
}
if (dst == isrc) {
// Force a leading space if the first chunk is deleted
*dst++ = ' ';
}
}
} else {
// Keep the text
if (skipping) {
// Skipping-to-keeping transition; do it at a space
int n = ForwardscanToSpace(src, len);
src += n;
remaining_bytes -= n; // Shrink remaining length
len -= n;
skipping = false;
}
// "len" can be negative in some cases
if (len > 0) {
memcpy(dst, src, len);
dst += len;
}
}
src += len;
}
if ((dst - isrc) < (srclen - 3)) {
// Pad and make last char clean UTF-8 by putting following spaces
dst[0] = ' ';
dst[1] = ' ';
dst[2] = ' ';
dst[3] = '\0';
} else if ((dst - isrc) < srclen) {
// Make last char clean UTF-8 by putting following space off the end
dst[0] = ' ';
}
// Deallocate local prediction table
delete[] predict_tbl;
return static_cast<int>(dst - isrc);
}
// Timing 2.8GHz P4 (dsites 2008.03.20) with 170KB input
// About 90 MB/sec, with or without memcpy, chunksize 48 or 4096
// Just CountSpaces is about 340 MB/sec
// Byte-only CountPredictedBytes is about 150 MB/sec
// Byte-only CountPredictedBytes, conditional tbl[] = is about 85! MB/sec
// Byte-only CountPredictedBytes is about 180 MB/sec, byte tbl, byte/int c
// Unjammed byte-only both = 170 MB/sec
// Jammed byte-only both = 120 MB/sec
// Back to original w/slight updates, 110 MB/sec
//
bool CheapSqueezeTriggerTest(const char* src, int srclen, int testsize) {
// Don't trigger at all on short text
if (srclen < testsize) {return false;}
int space_thresh = (testsize * kSpacesTriggerPercent) / 100;
int predict_thresh = (testsize * kPredictTriggerPercent) / 100;
int hash = 0;
// Allocate local prediction table.
int* predict_tbl = new int[kPredictionTableSize];
memset(predict_tbl, 0, kPredictionTableSize * sizeof(predict_tbl[0]));
bool retval = false;
if ((CountSpaces4(src, testsize) >= space_thresh) ||
(CountPredictedBytes(src, testsize, &hash, predict_tbl) >=
predict_thresh)) {
retval = true;
}
// Deallocate local prediction table
delete[] predict_tbl;
return retval;
}
// Close pairs (correlation) language_enum/language_enum
// id/ms (0.47) 38/40 [1]
// bo/dz (0.46) 105/135 [2]
// cz/sk (0.43) 17/68 [3]
// no/nn (0.42) 10/80 [4]
// hi/mr (0.38) 35/64 [5]
// xh/zu (0.37) 83/84 [6]
// Subscripted by packed language, gives 0 or a subscript in closepair
// scoring array inside doc_tote
static const uint8 kClosePair[EXT_NUM_LANGUAGES + 1] = {
0,
0,0,0,0,0,0,0,0, 0,0,4,0,0,0,0,0, 0,3,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,
0,0,0,5,0,0,1,0, 1,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,
5,0,0,0,3,0,0,0, 0,0,0,0,0,0,0,0, 4,0,0,6,6,0,0,0, 0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0, 0,2,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,2, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,
// Add new language close-pair number just before here (just use 0)
};
// Delete any extended languages from doc_tote
void RemoveExtendedLanguages(ToteWithReliability* doc_tote) {
for (int sub = 0; sub < doc_tote->MaxSize(); ++sub) {
if (cld::UnpackLanguage(doc_tote->Key(sub)) >= NUM_LANGUAGES) {
// Effectively remove the extended language by setting key&score to zero
if (FLAGS_dbgscore) {
fprintf(stderr, "{-%s} ",
ExtLanguageCode(cld::UnpackLanguage(doc_tote->Key(sub))));
}
// Delete entry
doc_tote->SetKey(sub, 0);
doc_tote->SetValue(sub, 0);
doc_tote->SetReliability(sub, 0);
}
}
}
static const int kMinReliableKeepPercent = 41; // Remove lang if reli < this
// For Tier3 languages, require a minimum number of bytes to be first-place lang
static const int kGoodFirstT3MinBytes = 24; // <this => no first
// Move bytes for unreliable langs to another lang or UNKNOWN
// doc_tote is sorted, so cannot Add
//
// If both CHINESE and CHINESET are present and unreliable, do not delete both;
// merge both into CHINESE.
//
//dsites 2009.03.19
// we also want to remove Tier3 languages as the first lang if there is very
// little text like ej1 ej2 ej3 ej4
// maybe fold this back in earlier
//
void RemoveUnreliableLanguages(ToteWithReliability* doc_tote, bool do_remove_weak_matches) {
// Prepass to merge some low-reliablility languages
int total_bytes = 0;
for (int sub = 0; sub < doc_tote->MaxSize(); ++sub) {
int plang = doc_tote->Key(sub);
if (plang == 0) {continue;} // Empty slot
Language lang = cld::UnpackLanguage(plang);
int bytes = doc_tote->Value(sub);
int reli = doc_tote->Reliability(sub);
if (bytes == 0) {continue;} // Zero bytes
total_bytes += bytes;
// Reliable percent is stored reliable score over stored bytecount
int reliable_percent = reli / bytes;
if (reliable_percent >= kMinReliableKeepPercent) {continue;} // Keeper
// This language is too unreliable to keep, but we might merge it.
Language altlang = UNKNOWN_LANGUAGE;
if (lang < NUM_LANGUAGES) {altlang = kClosestAltLanguage[lang];}
if (altlang == UNKNOWN_LANGUAGE) {continue;} // No alternative
// Look for alternative in doc_tote
int altsub = doc_tote->Find(cld::PackLanguage(altlang));
if (altsub < 0) {continue;} // No alternative text
int bytes2 = doc_tote->Value(altsub);
int reli2 = doc_tote->Reliability(altsub);
if (bytes2 == 0) {continue;} // Zero bytes
// Reliable percent is stored reliable score over stored bytecount
int reliable_percent2 = reli2 / bytes2;
// Merge one language into the other. Break ties toward lower lang #
int tosub = altsub;
int fromsub = sub;
bool into_lang = false;
if ((reliable_percent2 < reliable_percent) ||
((reliable_percent2 == reliable_percent) && (lang < altlang))) {
tosub = sub;
fromsub = altsub;
into_lang = true;
}
// Make sure reliability doesn't drop and is enough to avoid delete
int newpercent = cld::maxint(reliable_percent, reliable_percent2);
newpercent = cld::maxint(newpercent, kMinReliableKeepPercent);
int newbytes = bytes + bytes2;
int newreli = newpercent * newbytes;
doc_tote->SetKey(fromsub, 0);
doc_tote->SetValue(fromsub, 0);
doc_tote->SetReliability(fromsub, 0);
doc_tote->SetValue(tosub, newbytes);
doc_tote->SetReliability(tosub, newreli);
// Show fate of unreliable languages if at least 10 bytes
if (FLAGS_cld_html /*&& (newpercent >= 10)*/ && (newbytes >= 10)) {
if (into_lang) {
fprintf(stderr, "{Unreli %s.%d(%dB) => %s} ",
ExtLanguageCode(altlang), reliable_percent2, bytes2,
ExtLanguageCode(lang));
} else {
fprintf(stderr, "{Unreli %s.%d(%dB) => %s} ",
ExtLanguageCode(lang), reliable_percent, bytes,
ExtLanguageCode(altlang));
}
}
}
if (do_remove_weak_matches) {
// Pass to delete any remaining unreliable languages
for (int sub = 0; sub < doc_tote->MaxSize(); ++sub) {
int plang = doc_tote->Key(sub);
if (plang == 0) {continue;} // Empty slot
Language lang = cld::UnpackLanguage(plang);
int bytes = doc_tote->Value(sub);
int reli = doc_tote->Reliability(sub);
if (bytes == 0) {continue;} // Zero bytes
bool is_tier3 = (cld::kIsPackedTop40[plang] == 0);
if (is_tier3 &&
(bytes < kGoodFirstT3MinBytes) &&
(bytes < total_bytes)) {
reli = 0; // Too-short tier3
}
// Reliable percent is stored as reliable score over stored bytecount
int reliable_percent = reli / bytes;
if (reliable_percent >= kMinReliableKeepPercent) {continue;} // Keeper
// Delete unreliable entry
doc_tote->SetKey(sub, 0);
doc_tote->SetValue(sub, 0);
doc_tote->SetReliability(sub, 0);
// Show fate of unreliable languages if at least 10 bytes
if (FLAGS_cld_html /*&& (reliable_percent >= 10)*/ && (bytes >= 10)) {
fprintf(stderr, "{Unreli %s.%d(%dB)} ",
ExtLanguageCode(lang), reliable_percent, bytes);
}
}
}
if (FLAGS_cld_html) {fprintf(stderr, "<br>\n");}
}
// Move less likely byte count to more likely for close pairs of languages
void RefineScoredClosePairs(ToteWithReliability* doc_tote) {
for (int sub = 0; sub < doc_tote->MaxSize(); ++sub) {
int close_packedlang = doc_tote->Key(sub);
int subscr = kClosePair[close_packedlang];
if (subscr == 0) {continue;}
// We have a close pair language -- if the other one is also scored and the
// longword score differs enough, put all our eggs into one basket
// Nonzero longword score: Go look for the other of this pair
for (int sub2 = sub + 1; sub2 < doc_tote->MaxSize(); ++sub2) {
if (kClosePair[doc_tote->Key(sub2)] == subscr) {
// We have a matching pair
int close_packedlang2 = doc_tote->Key(sub2);
// Move all the text bytes from lower byte-count to higher one
int from_sub, to_sub;
Language from_lang, to_lang;
if (doc_tote->Value(sub) < doc_tote->Value(sub2)) {
from_sub = sub;
to_sub = sub2;
from_lang = cld::UnpackLanguage(close_packedlang);
to_lang = cld::UnpackLanguage(close_packedlang2);
} else {
from_sub = sub2;
to_sub = sub;
from_lang = cld::UnpackLanguage(close_packedlang2);
to_lang = cld::UnpackLanguage(close_packedlang);
}
// Move all the bytes smaller => larger of the pair
if (FLAGS_cld_html || FLAGS_dbgscore) {
// Show fate of closepair language
int val = doc_tote->Value(from_sub);
int reli = doc_tote->Reliability(from_sub);
int reliable_percent = reli / (val ? val : 1); // avoid zdiv
fprintf(stderr, "{CloseLangPair: %s.%d%%(%dB) => %s} ",
ExtLanguageCode(from_lang),
reliable_percent,
doc_tote->Value(from_sub),
ExtLanguageCode(to_lang));
}
int sum = doc_tote->Value(to_sub) + doc_tote->Value(from_sub);
doc_tote->SetValue(to_sub, sum);
doc_tote->SetReliability(to_sub, 100 * sum);
// Delete old entry
doc_tote->SetKey(from_sub, 0);
doc_tote->SetValue(from_sub, 0);
doc_tote->SetReliability(from_sub, 0);
break; // Exit inner for sub2 loop
}
} // End for sub2
} // End for sub
}
void ApplyLanguageHints(Tote* chunk_tote, int tote_grams,
uint8* lang_hint_boost) {
// Need 8 quad/unigrams to give full hint boost, else derate linearly
if (tote_grams > 8) {
tote_grams = 8;
}
for (int sub = 0; sub < chunk_tote->MaxSize(); ++sub) {
// Hint boosts are per packed subscript
int lang_sub = chunk_tote->Key(sub);
int new_value = chunk_tote->Value(sub) +
((lang_hint_boost[lang_sub] * tote_grams) >> 3);
chunk_tote->SetValue(sub, new_value);
if (FLAGS_dbgscore && (lang_hint_boost[lang_sub] > 0)) {
fprintf(stderr, "[%s+=%d*%d/8] ",
ExtLanguageCode(cld::UnpackLanguage(lang_sub)),
lang_hint_boost[lang_sub], tote_grams);
}
}
}
void PrintHtmlEscapedText(FILE* f, const char* txt, int len) {
for (int i = 0; i < len; ++i) {
char c = txt[i];
if (c == '<') {
fprintf(f, "<");
} else if (c == '>') {
fprintf(f, ">");
} else if (c == '&') {
fprintf(f, "&");
} else if (c == '\'') {
fprintf(f, "'");
} else if (c == '"') {
fprintf(f, """);
} else {
fprintf(f, "%c", c);
}
}
fprintf(f, "<br>\n");
}
// Add one chunk's score to running document score
// If the top language is UNKNOWN_LANGUAGE, score nothing. This is used to
// positively identify text to be ignored, such as link farms.
// Sort before scoring and reinit afterward
//
// src and srclen are just for debug output
void ScoreChunkIntoDoc(const char* src, int srclen, int advance_by,
UnicodeLScript lscript,
Tote* chunk_tote,
ToteWithReliability* doc_tote,
int tote_grams,
uint8* lang_hint_boost) {
// Apply hints before sorting
if (lang_hint_boost) {
ApplyLanguageHints(chunk_tote, tote_grams, lang_hint_boost);
}
// Sort to get top two languages
chunk_tote->Sort(2);
Language cur_lang = cld::UnpackLanguage(chunk_tote->Key(0));
// Return if empty
if (cur_lang < 0) {
chunk_tote->Reinit();
return;
}
bool cur_unreliable = false;
// Reliability is a function of mean script score per KB of text
int len = chunk_tote->GetByteCount();
int reliability = cld::GetReliability((len * 2) / advance_by,
lscript,
chunk_tote);
cur_unreliable = (reliability < cld::kMinReliable);
// If tote_grams=0, always reliable
// If tote_grams=1, always unreliable
if (tote_grams == 0) {
reliability = 100;
cur_unreliable = false;
} else if (tote_grams == 1) {
reliability = 0;
cur_unreliable = true;
}
#if 0
// TEMP
if (FLAGS_cld_html) {
if (reliability >= kMinReliableKeepPercent) {
fprintf(stderr, "R%d%% ", reliability);
} else {
fprintf(stderr, "--R%d%% ", reliability);
}
}
#endif
// Track the sequence of language fragments [result currently unused]
////if (reliability >= kMinReliableSeq) {
//// doc_tote->AddSeq(chunk_tote->Key(0));
////}
if (cur_unreliable && (chunk_tote->Key(1) != 0)) {
// Unreliable and two top contenders, split byte count 5/8 - 3/8
int top_len = ((len * 5) + 4) >> 3;
int second_len = len - top_len;
doc_tote->Add(chunk_tote->Key(0),
top_len, chunk_tote->Value(0), reliability);
doc_tote->Add(chunk_tote->Key(1),
second_len, chunk_tote->Value(1), reliability);
if (FLAGS_dbgscore) {
fprintf(stderr, "{+%s.%d.%dR(%dB) +%s.%d.%dR(%dB)} ",
ExtLanguageCode(cld::UnpackLanguage(chunk_tote->Key(0))),
chunk_tote->Value(0),
reliability,
top_len,
ExtLanguageCode(cld::UnpackLanguage(chunk_tote->Key(1))),
chunk_tote->Value(1),
reliability,
second_len);
}
} else {
// Reliable or single contender
doc_tote->Add(chunk_tote->Key(0),
len, chunk_tote->Value(0), reliability);
if (FLAGS_dbgscore) {
fprintf(stderr, "{+%s.%d.%dR(%dB)} ",
ExtLanguageCode(cld::UnpackLanguage(chunk_tote->Key(0))),
chunk_tote->Value(0),
reliability,
len);
}
}
if (FLAGS_cld_html) {
if (cur_lang < 0) {cur_lang = UNKNOWN_LANGUAGE;}
cld::PrintLang(stderr, chunk_tote,
cur_lang, cur_unreliable,
prior_lang, prior_unreliable);
prior_lang = cur_lang;
prior_unreliable = cur_unreliable;
string temp(src, srclen);
if (temp[0] == '=') {
// Rewrite =ScriptX= or =SwitchX= as =Xxxx= for script code Xxxx
temp = "=Buffered_";
temp.append(UnicodeLScriptCode(lscript));
temp.append("=");
}
cld::PrintText(stderr, cur_lang, temp);
}
chunk_tote->Reinit();
}
void PrintTopLang(Language top_lang) {
if ((top_lang == prior_lang) && (top_lang != UNKNOWN_LANGUAGE)) {
fprintf(stderr, "[] ");
} else {
fprintf(stderr, "[%s] ", ExtLanguageName(top_lang));
prior_lang = top_lang;
}
}
void PrintTopLangSpeculative(Language top_lang) {
fprintf(stderr, "<span style=\"color:#%06X;\">", 0xa0a0a0);
if ((top_lang == prior_lang) && (top_lang != UNKNOWN_LANGUAGE)) {
fprintf(stderr, "[] ");
} else {
fprintf(stderr, "[%s] ", ExtLanguageName(top_lang));
prior_lang = top_lang;
}
fprintf(stderr, "</span>\n");
}
// Add one chunk's score to running document score
// Convenience function with constant src text
void ScoreChunkIntoDoc2(const char* src, int advance_by,
UnicodeLScript lscript,
Tote* chunk_tote,
ToteWithReliability* doc_tote,
int tote_grams,
uint8* lang_hint_boost) {
int srclen = static_cast<int>(strlen(src));
ScoreChunkIntoDoc(src, srclen, advance_by, lscript, chunk_tote,
doc_tote, tote_grams, lang_hint_boost);
}
// Score one scriptspan using the only language for that script
void ScoreNilgrams(getone::LangSpan* scriptspan, int lang,
ToteWithReliability* doc_tote,
uint8* lang_hint_boost,
int flags, Language plus_one) {
// For debugging only. Not thread-safe
prior_lang = UNKNOWN_LANGUAGE;
prior_unreliable = false;
const char* src = scriptspan->text;
int len = scriptspan->text_bytes;
Tote chunk_tote;
// Score 1000 for 1000 bytes
chunk_tote.AddGram();
chunk_tote.Add(lang, scriptspan->text_bytes);
chunk_tote.AddBytes(scriptspan->text_bytes);
int advance_by = 2;
int tote_grams = 0; // Indicates fully reliable
ScoreChunkIntoDoc(src, len, advance_by,
scriptspan->script, &chunk_tote,
doc_tote, tote_grams, lang_hint_boost);
}
// Score one scriptspan using unigrams
// Updates tote_grams
static void ScoreUnigrams(const UTF8PropObj* unigram_obj,
getone::LangSpan* scriptspan,
int* tote_grams, int gram_limit,
Tote* chunk_tote,
ToteWithReliability* doc_tote,
uint8* lang_hint_boost,
int advance_by, int flags,
int* initial_word_span, Language plus_one) {
// chunk_tote may have partial sum coming in
const char* src = scriptspan->text;
const char* srclimit = src + scriptspan->text_bytes;
// For debugging only. Not thread-safe
prior_lang = UNKNOWN_LANGUAGE;
prior_unreliable = false;
// Break text up into multiple chunks and score each
while (src < srclimit) {
// Updates tote_grams
int len = cld::DoUniScoreV3(unigram_obj,
src, srclimit - src, advance_by,
tote_grams, gram_limit, chunk_tote);
if (FlagUseWords(flags) || (*initial_word_span > 0)) {
// Use bigram scoring in addition to quadgrams
cld::DoBigramScoreV3(&kCjkBiTable_obj,
src, len, chunk_tote);
}
chunk_tote->AddBytes(len);
*initial_word_span -= len;
if (*tote_grams >= gram_limit) {
// Add this chunk to doc totals
// Remove all but top40 if asked
if (FlagTop40(flags)) {
cld::DemoteNotTop40(chunk_tote, cld::PackLanguage(plus_one));
}
// Sort, accumulate into doc total, reinit
ScoreChunkIntoDoc(src, len, advance_by,
scriptspan->script, chunk_tote,
doc_tote, *tote_grams, lang_hint_boost);
*tote_grams = 0;
} else {
if (FLAGS_cld_html) {
string temp(src, len);
Language top_lang = cld::UnpackLanguage(chunk_tote->CurrentTopKey());
PrintTopLangSpeculative(top_lang);
cld::PrintText(stderr, top_lang, temp);
}
}
src += len;
}
// chunk_tote may have partial sum going out
}
// Back up one UTF-8 character
const uint8* BackOneUTF8(const uint8* p) {
const uint8* retval = p - 1;
if ((*retval & 0xc0) == 0x80) {--retval;}
if ((*retval & 0xc0) == 0x80) {--retval;}
if ((*retval & 0xc0) == 0x80) {--retval;}
return retval;
}
// Score one scriptspan using quadgrams
// Incoming chunk_tote may have partial accumulation
static void ScoreQuadgrams(const cld::CLDTableSummary* quadgram_obj,
getone::LangSpan* scriptspan,
int* tote_grams, int gram_limit,
Tote* chunk_tote,
ToteWithReliability* doc_tote,
uint8* lang_hint_boost,
int advance_by, int flags,
int* initial_word_span, Language plus_one) {
// chunk_tote may have partial sum coming in
const char* src = scriptspan->text;
const char* srclimit = src + scriptspan->text_bytes;
const char* lastscored_src = src;
// For debugging only. Not thread-safe
prior_lang = UNKNOWN_LANGUAGE;
prior_unreliable = false;
// Break text up into multiple chunks and score each
while (src < srclimit) {
// Updates tote_grams
int len = cld::DoQuadScoreV3(quadgram_obj,
src, srclimit - src, advance_by,
tote_grams, gram_limit, chunk_tote);
if (FlagUseWords(flags) || (*initial_word_span > 0)) {
// Use word scoring in addition to quadgrams
cld::DoOctaScoreV3(&kLongWord8Table_obj,
src, len, chunk_tote);
}
chunk_tote->AddBytes(len);
*initial_word_span -= len;
if (*tote_grams >= gram_limit) {
// Remove all but top40 if asked
if (FlagTop40(flags)) {
cld::DemoteNotTop40(chunk_tote, cld::PackLanguage(plus_one));
}
// Sort, accumulate into doc total, reinit
ScoreChunkIntoDoc(src, len, advance_by,
scriptspan->script, chunk_tote,
doc_tote, *tote_grams, lang_hint_boost);
lastscored_src = src + len;
*tote_grams = 0;
} else {
if (FLAGS_cld_html) {
string temp(src, len);
Language top_lang = cld::UnpackLanguage(chunk_tote->CurrentTopKey());
PrintTopLangSpeculative(top_lang);
cld::PrintText(stderr, top_lang, temp);
}
}
src += len;
}
}
void PrintLangs(FILE* f, const Language* language3, const int* percent3,
const int* text_bytes, const bool* is_reliable) {
fprintf(f, "<br> Initial_Languages ");
if (language3[0] != UNKNOWN_LANGUAGE) {
fprintf(f, "%s%s(%d%%) ",
ExtLanguageName(language3[0]),
*is_reliable ? "" : "*",
percent3[0]);
}
if (language3[1] != UNKNOWN_LANGUAGE) {
fprintf(f, "%s(%d%%) ", ExtLanguageName(language3[1]), percent3[1]);
}
if (language3[2] != UNKNOWN_LANGUAGE) {
fprintf(f, "%s(%d%%) ", ExtLanguageName(language3[2]), percent3[2]);
}
fprintf(f, "%d bytes \n", *text_bytes);
fprintf(f, "<br>\n");
}
// Start the tote with a count of one for the default language for script
void InitScriptToteLang(Tote* script_tote, UnicodeLScript lscript) {
Language defaultlang = cld::kDefaultLanguagePerLScript[lscript];
script_tote->Add(cld::PackLanguage(defaultlang), 1);
script_tote->AddBytes(1);
#if 0
if (FLAGS_cld_html) {
cld::PrintLang(stderr, script_tote,
defaultlang, false,
UNKNOWN_LANGUAGE, false);
prior_lang = cur_lang;
string temp("+1");
cld::PrintText(stderr, defaultlang, temp);
}
#endif
}
static const char* const kToteName[4] =
{"=Latn=", "=Hani=", "=Script2=", "=Script3="};
static const char* const kToteSwitch[4] =
{"=Latn=", "=Hani=", "=Switch2=", "=Switch3="};
// Upper to lower, keep digits, everything else to minus '-' (2d)
static const char kCharsetToLowerTbl[256] = {
0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,
0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,
0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,
0x30,0x31,0x32,0x33,0x34,0x35,0x36,0x37, 0x38,0x39,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,
0x2d,0x61,0x62,0x63,0x64,0x65,0x66,0x67, 0x68,0x69,0x6a,0x6b,0x6c,0x6d,0x6e,0x6f,
0x70,0x71,0x72,0x73,0x74,0x75,0x76,0x77, 0x78,0x79,0x7a,0x2d,0x2d,0x2d,0x2d,0x2d,
0x2d,0x61,0x62,0x63,0x64,0x65,0x66,0x67, 0x68,0x69,0x6a,0x6b,0x6c,0x6d,0x6e,0x6f,
0x70,0x71,0x72,0x73,0x74,0x75,0x76,0x77, 0x78,0x79,0x7a,0x2d,0x2d,0x2d,0x2d,0x2d,
0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,
0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,
0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,
0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,
0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,
0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,
0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,
0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d, 0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,0x2d,
};
static const char kIsAlpha[256] = {
0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,
0,1,1,1,1,1,1,1, 1,1,1,1,1,1,1,1, 1,1,1,1,1,1,1,1, 1,1,1,0,0,0,0,0,
0,1,1,1,1,1,1,1, 1,1,1,1,1,1,1,1, 1,1,1,1,1,1,1,1, 1,1,1,0,0,0,0,0,
0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,
};
static const char kIsDigit[256] = {
0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 1,1,1,1,1,1,1,1, 1,1,0,0,0,0,0,0,
0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0, 0,0,0,0,0,0,0,0,
};
// Normalize ASCII string to first 4 alphabetic/digit chars
// Letters are forced to lowercase ASCII
// Used to normalize TLD values
void MakeChar4(const char* str, char* norm) {
memcpy(norm, "____", 4); // four underscores
int l_ptr = 0;
for (int i = 0; i < strlen(str); ++i) {
uint8 uc = static_cast<uint8>(str[i]);
if (kIsAlpha[uc] | kIsDigit[uc]) {
if (l_ptr < 4) { // Else ignore
norm[l_ptr] = kCharsetToLowerTbl[uc];
l_ptr++;
}
}
}
}
// Find subscript of matching key in first 4 bytes of sorted hint array, or -1
static int HintBinaryLookup4(const HintEntry* hintprobs, int hintprobssize,
const char* norm_key) {
// Key is always in range [lo..hi)
int lo = 0;
int hi = hintprobssize;
while (lo < hi) {
int mid = (lo + hi) >> 1;
int comp = memcmp(&hintprobs[mid].key[0], norm_key, 4);
if (comp < 0) {
lo = mid + 1;
} else if (comp > 0) {
hi = mid;
} else {
return mid;
}
}
return -1;
}
// Increment the initial probabilities based on a per-TLD probs entry
void ApplyTLDHint(uint8* lang_hint_boost, const char* tld_hint) {
if (FLAGS_dbgscore) {
fprintf(stderr, "TLD hint %s\n", tld_hint);
}
char normalized_tld[8];
MakeChar4(tld_hint, normalized_tld);
int n = HintBinaryLookup4(kTLDHintProbs, kTLDHintProbsSize,
normalized_tld);
// TLD is four bytes, probability entry is 4 bytes
if (n >= 0) {
uint32 probs = kTLDHintProbs[n].probs;
uint8 prob123 = (probs >> 0) & 0xff;
const uint8* prob123_entry = cld::LgProb2TblEntry(prob123);
uint8 top1 = (probs >> 8) & 0xff;
if (top1 > 0) {lang_hint_boost[top1] += cld::LgProb3(prob123_entry, 0);}
uint8 top2 = (probs >> 16) & 0xff;
if (top2 > 0) {lang_hint_boost[top2] += cld::LgProb3(prob123_entry, 1);}
uint8 top3 = (probs >> 24) & 0xff;
if (top3 > 0) {lang_hint_boost[top3] += cld::LgProb3(prob123_entry, 2);}
}
}
// Increment the initial probabilities based on a per-encoding probs entry
void ApplyEncodingHint(uint8* lang_hint_boost, int encoding_hint) {
if (FLAGS_dbgscore) {
Encoding tempenc = static_cast<Encoding>(encoding_hint);
fprintf(stderr, "ENC hint %s\n", EncodingName(tempenc));
}
if (encoding_hint < ISO_8859_1) {return;}
if (encoding_hint >= NUM_ENCODINGS) {return;}
uint32 probs = kEncodingHintProbs[encoding_hint];
uint8 prob123 = (probs >> 0) & 0xff;
const uint8* prob123_entry = cld::LgProb2TblEntry(prob123);
uint8 top1 = (probs >> 8) & 0xff;
if (top1 > 0) {lang_hint_boost[top1] += cld::LgProb3(prob123_entry, 0);}
uint8 top2 = (probs >> 16) & 0xff;
if (top2 > 0) {lang_hint_boost[top2] += cld::LgProb3(prob123_entry, 1);}
uint8 top3 = (probs >> 24) & 0xff;
if (top3 > 0) {lang_hint_boost[top3] += cld::LgProb3(prob123_entry, 2);}
}
// Increment the initial probability for given language by fixed amount
// Does not recognize extended languages as hints
void ApplyLanguageHint(uint8* lang_hint_boost, Language language_hint) {
if (FLAGS_dbgscore) {
fprintf(stderr, "LANG hint %s\n", ExtLanguageName(language_hint));
}
if (language_hint < ENGLISH) {return;}
if (language_hint >= NUM_LANGUAGES) {return;}
uint32 probs = kLanguageHintProbs[language_hint];
uint8 prob123 = (probs >> 0) & 0xff;
const uint8* prob123_entry = cld::LgProb2TblEntry(prob123);
uint8 top1 = (probs >> 8) & 0xff;
if (top1 > 0) {lang_hint_boost[top1] += cld::LgProb3(prob123_entry, 0);}
uint8 top2 = (probs >> 16) & 0xff;
if (top2 > 0) {lang_hint_boost[top2] += cld::LgProb3(prob123_entry, 1);}
uint8 top3 = (probs >> 24) & 0xff;
if (top3 > 0) {lang_hint_boost[top3] += cld::LgProb3(prob123_entry, 2);}
}
// Extract return values before fixups
void ExtractLangEtc(ToteWithReliability* doc_tote, int total_text_bytes,
int* reliable_percent3, Language* language3, int* percent3,
double* normalized_score3,
int* text_bytes, bool* is_reliable) {
reliable_percent3[0] = 0;
reliable_percent3[1] = 0;
reliable_percent3[2] = 0;
language3[0] = UNKNOWN_LANGUAGE;
language3[1] = UNKNOWN_LANGUAGE;
language3[2] = UNKNOWN_LANGUAGE;
percent3[0] = 100;
percent3[1] = 0;
percent3[2] = 0;
normalized_score3[0] = 0.0;
normalized_score3[1] = 0.0;
normalized_score3[2] = 0.0;
*text_bytes = total_text_bytes;
*is_reliable = false;
int bytecount1 = total_text_bytes;
int bytecount2 = 0;
int bytecount3 = 0;
int lang1 = doc_tote->Key(0);
if (lang1 != 0) {
// We have a top language
language3[0] = cld::UnpackLanguage(lang1);
bytecount1 = doc_tote->Value(0);
int reli1 = doc_tote->Reliability(0);
reliable_percent3[0] = reli1 / (bytecount1 ? bytecount1 : 1); // avoid zdiv
normalized_score3[0] = cld::GetNormalizedScore(language3[0],
ULScript_Common,
bytecount1,
doc_tote->Score(0));
}
int lang2 = doc_tote->Key(1);
if (lang2 != 0) {
language3[1] = cld::UnpackLanguage(lang2);
bytecount2 = doc_tote->Value(1);
int reli2 = doc_tote->Reliability(1);
reliable_percent3[1] = reli2 / (bytecount2 ? bytecount2 : 1); // avoid zdiv
normalized_score3[1] = cld::GetNormalizedScore(language3[1],
ULScript_Common,
bytecount2,
doc_tote->Score(1));
}
int lang3 = doc_tote->Key(2);
if (lang3 != 0) {
language3[2] = cld::UnpackLanguage(lang3);
bytecount3 = doc_tote->Value(2);
int reli3 = doc_tote->Reliability(2);
reliable_percent3[2] = reli3 / (bytecount3 ? bytecount3 : 1); // avoid zdiv
normalized_score3[2] = cld::GetNormalizedScore(language3[2],
ULScript_Common,
bytecount3,
doc_tote->Score(2));
}
// Increase total bytes to sum (top 3) if low for some reason
int total_bytecount12 = bytecount1 + bytecount2;
int total_bytecount123 = total_bytecount12 + bytecount3;
if (total_text_bytes < total_bytecount123) {
total_text_bytes = total_bytecount123;
*text_bytes = total_text_bytes;
}
// Sum minus previous % gives better roundoff behavior than bytecount/total
int total_text_bytes_div = cld::maxint(1, total_text_bytes); // Avoid zdiv
percent3[0] = (bytecount1 * 100) / total_text_bytes_div;
percent3[1] = (total_bytecount12 * 100) / total_text_bytes_div;
percent3[2] = (total_bytecount123 * 100) / total_text_bytes_div;
percent3[2] -= percent3[1];
percent3[1] -= percent3[0];
// Roundoff, say 96% 1.6% 1.4%, will produce non-obvious 96% 1% 2%
// Fix this explicitly
if (percent3[1] < percent3[2]) {
++percent3[1];
--percent3[2];
}
if (percent3[0] < percent3[1]) {
++percent3[0];
--percent3[1];
}
*text_bytes = total_text_bytes;
if (lang1 != 0) {
// We have a top language
// Its reliability is overal result reliability
int bytecount = doc_tote->Value(0);
int reli = doc_tote->Reliability(0);
int reliable_percent = reli / (bytecount ? bytecount : 1); // avoid zdiv
*is_reliable = reliable_percent >= cld::kMinReliable;
} else {
// No top language at all. This can happen with zero text or 100% Klingon
// if extended=false. Just return all UNKNOWN_LANGUAGE, reliable.
*is_reliable = true;
}
}
bool IsFIGS(Language lang) {
if (lang == FRENCH) {return true;}
if (lang == ITALIAN) {return true;}
if (lang == GERMAN) {return true;}
if (lang == SPANISH) {return true;}
return false;
}
bool IsEFIGS(Language lang) {
if (lang == ENGLISH) {return true;}
if (lang == FRENCH) {return true;}
if (lang == ITALIAN) {return true;}
if (lang == GERMAN) {return true;}
if (lang == SPANISH) {return true;}
return false;
}
static const int kNonEnBoilerplateMinPercent = 17; // <this => no second
static const int kNonFIGSBoilerplateMinPercent = 20; // <this => no second
static const int kGoodFirstMinPercent = 26; // <this => UNK
static const int kGoodFirstReliableMinPercent = 51; // <this => unreli
static const int kIgnoreMaxPercent = 95; // >this => unreli
static const int kKeepMinPercent = 2; // <this => unreli
// For Tier3 languages, require more bytes of text to override
// the first-place language
static const int kGoodSecondT1T2MinBytes = 15; // <this => no second
static const int kGoodSecondT3MinBytes = 128; // <this => no second
//
// Calculate a single summary language for the document, and its reliability.
// Returns language3[0] or language3[1] or ENGLISH or UNKNOWN_LANGUAGE
// This is the heart of matching human-rater perception.
// reliable_percent3[] is currently unused
//
// Do not return Tier3 second language unless there are at least 128 bytes
void CalcSummaryLang(ToteWithReliability* doc_tote, int total_text_bytes,
const int* reliable_percent3,
const Language* language3,
const int* percent3,
Language* summary_lang, bool* is_reliable) {
// Vector of active languages; changes if we delete some
int slot_count = 3;
int active_slot[3] = {0, 1, 2};
int ignore_percent = 0;
int return_percent = percent3[0]; // Default to top lang
*summary_lang = language3[0];
*is_reliable = true;
if (percent3[0] < kKeepMinPercent) {*is_reliable = false;}
// If any of top 3 is IGNORE, remove it and increment ignore_percent
for (int i = 0; i < 3; ++i) {
if (language3[i] == TG_UNKNOWN_LANGUAGE) {
ignore_percent += percent3[i];
// Move the rest up, levaing input vectors unchanged
for (int j=i+1; j < 3; ++j) {
active_slot[j - 1] = active_slot[j];
}
-- slot_count;
// Logically remove Ignore from percentage-text calculation
// (extra 1 in 101 avoids zdiv, biases slightly small)
return_percent = (percent3[0] * 100) / (101 - ignore_percent);
*summary_lang = language3[active_slot[0]];
if (percent3[active_slot[0]] < kKeepMinPercent) {*is_reliable = false;}
}
}
// If English and X, where X (not UNK) is big enough,
// assume the English is boilerplate and return X.
// Logically remove English from percentage-text calculation
int second_bytes = (total_text_bytes * percent3[active_slot[1]]) / 100;
// Require more bytes of text for Tier3 languages
int minbytesneeded = kGoodSecondT1T2MinBytes;
int plang_second = cld::PackLanguage(language3[active_slot[1]]);
bool is_tier3 = (cld::kIsPackedTop40[plang_second] == 0);
if (is_tier3) {
minbytesneeded = kGoodSecondT3MinBytes;
}
if ((language3[active_slot[0]] == ENGLISH) &&
(language3[active_slot[1]] != ENGLISH) &&
(language3[active_slot[1]] != UNKNOWN_LANGUAGE) &&
(percent3[active_slot[1]] >= kNonEnBoilerplateMinPercent) &&
(second_bytes >= minbytesneeded)) {
ignore_percent += percent3[active_slot[0]];
return_percent = (percent3[active_slot[1]] * 100) / (101 - ignore_percent);
*summary_lang = language3[active_slot[1]];
if (percent3[active_slot[1]] < kKeepMinPercent) {*is_reliable = false;}
// Else If FIGS and X, where X (not UNK, EFIGS) is big enough,
// assume the FIGS is boilerplate and return X.
// Logically remove FIGS from percentage-text calculation
} else if (IsFIGS(language3[active_slot[0]]) &&
!IsEFIGS(language3[active_slot[1]]) &&
(language3[active_slot[1]] != UNKNOWN_LANGUAGE) &&
(percent3[active_slot[1]] >= kNonFIGSBoilerplateMinPercent) &&
(second_bytes >= minbytesneeded)) {
ignore_percent += percent3[active_slot[0]];
return_percent = (percent3[active_slot[1]] * 100) / (101 - ignore_percent);
*summary_lang = language3[active_slot[1]];
if (percent3[active_slot[1]] < kKeepMinPercent) {*is_reliable = false;}
// Else we are returning the first language, but want to improve its
// return_percent if the second language should be ignored
} else if ((language3[active_slot[1]] == ENGLISH) &&
(language3[active_slot[0]] != ENGLISH)) {
ignore_percent += percent3[active_slot[1]];
return_percent = (percent3[active_slot[0]] * 100) / (101 - ignore_percent);
} else if (IsFIGS(language3[active_slot[1]]) &&
!IsEFIGS(language3[active_slot[0]])) {
ignore_percent += percent3[active_slot[1]];
return_percent = (percent3[active_slot[0]] * 100) / (101 - ignore_percent);
}
// If return percent is too small (too many languages), return UNKNOWN
if ((return_percent < kGoodFirstMinPercent)) {
*summary_lang = UNKNOWN_LANGUAGE;
*is_reliable = false;
}
// If return percent is small, return language but set unreliable.
if ((return_percent < kGoodFirstReliableMinPercent)) {
*is_reliable = false;
}
// If ignore percent is too large, set unreliable.
if ((ignore_percent > kIgnoreMaxPercent)) {
*is_reliable = false;
}
// If we removed all the active languages, return UNKNOWN
if (slot_count == 0) {
*summary_lang = UNKNOWN_LANGUAGE;
*is_reliable = false;
}
}
// Result vector must be exactly three items
Language CompactLangDetImpl::DetectLanguageSummaryV25(
const CompactLangDet::DetectionTables* tables,
const char* buffer,
int buffer_length,
bool is_plain_text,
bool do_pick_summary_language,
bool do_remove_weak_matches,
const char* tld_hint, // "id" boosts Indonesian
int encoding_hint, // SJS boosts Japanese
Language language_hint, // ITALIAN boosts it
bool allow_extended_lang,
int flags,
Language plus_one,
Language* language3,
int* percent3,
double* normalized_score3,
int* text_bytes,
bool* is_reliable) {
if (!tables) {
static const CompactLangDet::DetectionTables default_cld_tables = {
&kQuadTable_obj,
&compact_lang_det_generated_ctjkvz_b1_obj
};
tables = &default_cld_tables;
}
language3[0] = UNKNOWN_LANGUAGE;
language3[1] = UNKNOWN_LANGUAGE;
language3[2] = UNKNOWN_LANGUAGE;
percent3[0] = 100;
percent3[1] = 0;
percent3[2] = 0;
normalized_score3[0] = 0.0;
normalized_score3[1] = 0.0;
normalized_score3[2] = 0.0;
*text_bytes = 0;
*is_reliable = false;
// Document totals
ToteWithReliability doc_tote; // Reliability = 0..100
// Vector of packed per-language boosts (just one filled in from hints)
uint8 lang_hint_boost[EXT_NUM_LANGUAGES + 1];
memset(lang_hint_boost, 0, sizeof(lang_hint_boost));
// Apply hints,if any
if ((tld_hint != NULL) && (tld_hint[0] != '\0')) {
ApplyTLDHint(lang_hint_boost, tld_hint);
}
if (encoding_hint != UNKNOWN_ENCODING) {
ApplyEncodingHint(lang_hint_boost, encoding_hint);
}
if (language_hint != UNKNOWN_LANGUAGE) {
ApplyLanguageHint(lang_hint_boost, language_hint);
}
// Four individual script totals, Latin, Han, other2, other3
int next_other_tote = 2;
// Four totes for up to four different scripts pending at once
Tote totes[4]; // [0] Latn [1] Hani [2] other [3] other
bool tote_seen[4] = {false, false, false, false};
int tote_grams[4] = {0, 0, 0, 0}; // Number in partial chunk
UnicodeLScript tote_script[4] =
{ULScript_Latin, ULScript_HanCJK, ULScript_Common, ULScript_Common};
// Loop through text spans in a single script
ScriptScanner ss(buffer, buffer_length, is_plain_text);
getone::LangSpan scriptspan;
scriptspan.text = NULL;
scriptspan.text_bytes = 0;
scriptspan.offset = 0;
scriptspan.script = ULScript_Common;
scriptspan.lang = UNKNOWN_LANGUAGE;
int total_text_bytes = 0;
int textlimit = FLAGS_cld_textlimit << 10; // in KB
if (textlimit == 0) {textlimit = 0x7fffffff;}
int advance_by = 2; // Advance 2 bytes
int advance_limit = textlimit >> 3; // For first 1/8 of max document
int initial_word_span = kDefaultWordSpan;
if (FLAGS_cld_forcewords) {
initial_word_span = kReallyBigWordSpan;
}
// Pick up chunk sizes
// Smoothwidth is units of quadgrams, about 2.5 chars (unigrams) each
// Sanity check -- force into a reasonable range
int chunksizequads = FLAGS_cld_smoothwidth;
chunksizequads = cld::minint(cld::maxint(chunksizequads, kMinChunkSizeQuads),
kMaxChunkSizeQuads);
int chunksizeunis = (chunksizequads * 5) >> 1;
// Varying short-span limit doesn't work well -- skips too much beyond 20KB
// int spantooshortlimit = advance_by * FLAGS_cld_smoothwidth;
int spantooshortlimit = kShortSpanThresh;
// For debugging only. Not thread-safe
prior_lang = UNKNOWN_LANGUAGE;
prior_unreliable = false;
// Allocate full-document prediction table for finding repeating words
int hash = 0;
int* predict_tbl = new int[kPredictionTableSize];
if (FlagRepeats(flags)) {
memset(predict_tbl, 0, kPredictionTableSize * sizeof(predict_tbl[0]));
}
// Loop through scriptspans accumulating number of text bytes in each language
while (ss.GetOneScriptSpanLower(&scriptspan)) {
UnicodeLScript lscript = scriptspan.script;
// Echo text if asked to
if (FLAGS_cld_echotext) {
PrintHtmlEscapedText(stderr, scriptspan.text, scriptspan.text_bytes);
}
// Squeeze out big chunks of text span if asked to
if (FlagSqueeze(flags)) {
// Remove repetitive or mostly-spaces chunks
int newlen;
int chunksize = 0; // Use the default
newlen = CheapSqueezeInplace(scriptspan.text, scriptspan.text_bytes,
chunksize);
scriptspan.text_bytes = newlen;
} else {
// Check now and then to see if we should be squeezing
if ((total_text_bytes >= kCheapSqueezeTestThresh) &&
!FlagFinish(flags) &&
((getone::kMaxScriptBuffer >> 1) < scriptspan.text_bytes) &&
CheapSqueezeTriggerTest(scriptspan.text,
scriptspan.text_bytes,
kCheapSqueezeTestLen)) {
// Recursive call with big-chunk squeezing set
if (FLAGS_cld_html || FLAGS_dbgscore) {
fprintf(stderr,
"<br>---text_bytes[%d] Recursive(Squeeze)---<br><br>\n",
total_text_bytes);
}
// Deallocate full-document prediction table
delete[] predict_tbl;
return DetectLanguageSummaryV25(
tables,
buffer,
buffer_length,
is_plain_text,
do_pick_summary_language,
do_remove_weak_matches,
tld_hint, // "id" boosts Indonesian
encoding_hint, // SJS boosts Japanese
language_hint, // ITALIAN boosts it
allow_extended_lang,
flags | kCLDFlagSqueeze,
plus_one,
language3,
percent3,
normalized_score3,
text_bytes,
is_reliable);
}
}
// Remove repetitive words if asked to
if (FlagRepeats(flags)) {
// Remove repetitive words
int newlen;
newlen = CheapRepWordsInplace(scriptspan.text, scriptspan.text_bytes,
&hash, predict_tbl);
scriptspan.text_bytes = newlen;
}
// The real scoring
// Accumulate directly into the document total, or accmulate in one of four
// chunk totals. The purpose of the multiple chunk totals is to piece
// together short choppy pieces of text in alternating scripts. One total is
// dedicated to Latin text, one to Han text, and the other two are dynamicly
// assigned.
Language onlylang = cld::kOnlyLanguagePerLScript[lscript];
if (onlylang != UNKNOWN_LANGUAGE) {
// This entire script run is in a single language.
ScoreNilgrams(&scriptspan, cld::PackLanguage(onlylang), &doc_tote,
lang_hint_boost, flags, plus_one);
} else if (cld::kScoreUniPerLScript[lscript] != 0) {
// This entire script run's languages can be distinguished by uni-grams
// Accumulate in hani_tote
int tote_num = 1;
if (!tote_seen[tote_num]) {
tote_seen[tote_num] = true;
// Default language gets 1 byte
total_text_bytes += 1;
InitScriptToteLang(&totes[tote_num], lscript);
}
ScoreUnigrams(tables->unigram_obj,
&scriptspan, &tote_grams[tote_num], chunksizeunis,
&totes[tote_num],
&doc_tote, lang_hint_boost,
advance_by, flags, &initial_word_span, plus_one);
} else {
// This entire script-run's languages can be distinguished by quad-grams
// Accumulate in latn_tote or script0/1_tote
int tote_num = -1;
for (int t = 0; t < 4; ++t) {
if (lscript == tote_script[t]) {
tote_num = t;
break;
}
}
if (tote_num < 0) {
// Need to allocate other0/1
tote_num = next_other_tote;
next_other_tote ^= 1; // Round-robin
if (tote_seen[tote_num]) {
// Flush previous
ScoreChunkIntoDoc2(kToteSwitch[tote_num], advance_by,
tote_script[tote_num], &totes[tote_num],
&doc_tote, tote_grams[tote_num], lang_hint_boost);
totes[tote_num].Reinit();
}
tote_script[tote_num] = lscript;
}
if (!tote_seen[tote_num]) {
tote_seen[tote_num] = true;
// Default language gets 1 byte
total_text_bytes += 1;
InitScriptToteLang(&totes[tote_num], lscript);
}
// The actual accumulation, possibly with word scoring also
ScoreQuadgrams(tables->quadgram_obj, &scriptspan, &tote_grams[tote_num],
chunksizequads,
&totes[tote_num],
&doc_tote, lang_hint_boost,
advance_by, flags, &initial_word_span, plus_one);
}
total_text_bytes += scriptspan.text_bytes;
// For long documents, do less-dense samples the further along we go.
// This is to keep speed sublinear in document size.
if (total_text_bytes > advance_limit) {
if (total_text_bytes > textlimit) {
// Don't look at rest of doc
if (FLAGS_cld_html || FLAGS_dbgscore) {
fprintf(stderr, "<br>---text_bytes[%d] textlimit %d reached---<br>",
total_text_bytes, textlimit);
}
break;
}
advance_by <<= 1; // Double advance bytes
advance_limit <<= 1; // Double limit until next change
spantooshortlimit <<= 1; // Double short-span size
if (FLAGS_cld_html || FLAGS_dbgscore) {
fprintf(stderr, "<br>---text_bytes[%d] advance_by doubled to %d---<br>",
total_text_bytes, advance_by);
}
}
} // End while (ss.GetOneScriptSpanLower())
// Deallocate full-document prediction table
delete[] predict_tbl;
// Flush pending totals
for (int tote_num = 0; tote_num < 4; ++tote_num) {
if (tote_seen[tote_num]) {
ScoreChunkIntoDoc2(kToteName[tote_num], advance_by,
tote_script[tote_num], &totes[tote_num], &doc_tote,
tote_grams[tote_num], lang_hint_boost);
}
}
// If extended languages are disallowed, remove them here
if (!allow_extended_lang) {
RemoveExtendedLanguages(&doc_tote);
}
// Force close pairs to one or the other
RefineScoredClosePairs(&doc_tote);
// Calculate return results
// Find top three byte counts in tote heap
int reliable_percent3[3];
// Cannot use Add, etc. after sorting
doc_tote.Sort(3);
ExtractLangEtc(&doc_tote, total_text_bytes,
reliable_percent3, language3, percent3, normalized_score3,
text_bytes, is_reliable);
bool have_good_answer = false;
if (FlagFinish(flags)) {
// Force a result
have_good_answer = true;
} else if (total_text_bytes <= kShortTextThresh) {
// Don't recurse on short text -- we already did word scores
have_good_answer = true;
} else if (*is_reliable &&
(percent3[0] >= kGoodLang1Percent)) {
have_good_answer = true;
} else if (*is_reliable &&
((percent3[0] + percent3[1]) >= kGoodLang1and2Percent)) {
have_good_answer = true;
}
if (have_good_answer) {
// This is the real, non-recursive return
// Move bytes for unreliable langs to another lang or
// UNKNOWN
RemoveUnreliableLanguages(&doc_tote, do_remove_weak_matches);
// Redo the result extraction after the removal above
doc_tote.Sort(3);
ExtractLangEtc(&doc_tote, total_text_bytes,
reliable_percent3, language3, percent3, normalized_score3,
text_bytes, is_reliable);
#if 0
// OLD code, replaced by CalcSummaryLang
//
// Suppress ignore-me text, TG_UNKNOWN_LANGUAGE if 2nd or 3rd language
// Force it to English if first language
if (language3[2] == TG_UNKNOWN_LANGUAGE) {
reliable_percent3[2] = 0;
language3[2] = UNKNOWN_LANGUAGE;
percent3[2] = 0;
} else if (language3[1] == TG_UNKNOWN_LANGUAGE) {
// Move up lower language
reliable_percent3[1] = reliable_percent3[2];
language3[1] = language3[2];
percent3[1] = percent3[2];
reliable_percent3[2] = 0;
language3[2] = UNKNOWN_LANGUAGE;
percent3[2] = 0;
} else if (language3[0] == TG_UNKNOWN_LANGUAGE) {
language3[0] = ENGLISH;
}
if (language3[0] == UNKNOWN_LANGUAGE) {
// Last-ditch test for some result, but it is UNKNOWN_LANGUAGE
// Force it to English (should not happen)
language3[0] = ENGLISH;
percent3[0] = 100;
*is_reliable = true;
}
#endif
#if 0
// Scaffolding to reveal subset sequence lang distribution across doc text
// Track the sequence of language fragments [result currently unused]
if (FLAGS_cld_html) {
static const int kMaxSubsetSeq = 12;
uint8 subseq[kMaxSubsetSeq];
doc_tote.ExtractSeq(kMaxSubsetSeq, subseq);
fprintf(stderr, "<br>\nSubset Sequence[%d]: ", kMaxSubsetSeq);
for (int i = 0; i < kMaxSubsetSeq; ++i) {
fprintf(stderr, "%s ", ExtLanguageCode(cld::UnpackLanguage(subseq[i])));
if ((i % 4) == 3) {fprintf(stderr, " ");}
}
fprintf(stderr, " ");
for (int i = 0; i < 3; ++i) {
if (language3[i] != UNKNOWN_LANGUAGE) {
fprintf(stderr, "%s.%d(%d%%) ",
ExtLanguageCode(language3[i]),
reliable_percent3[i],
percent3[i]);
}
}
fprintf(stderr, "%d B ", total_text_bytes);
fprintf(stderr, "<br>\n");
}
// End Scaffolding to reveal subset sequence lang distribution
#endif
Language summary_lang;
if (do_pick_summary_language) {
CalcSummaryLang(&doc_tote, total_text_bytes,
reliable_percent3, language3, percent3,
&summary_lang, is_reliable);
} else {
summary_lang = language3[0];
}
if (FLAGS_cld_html) {
for (int i = 0; i < 3; ++i) {
if (language3[i] != UNKNOWN_LANGUAGE) {
fprintf(stderr, "%s.%d(%d%%) ",
ExtLanguageCode(language3[i]),
reliable_percent3[i],
percent3[i]);
}
}
fprintf(stderr, "%d B ", total_text_bytes);
fprintf(stderr, "= %s%c ",
ExtLanguageName(summary_lang), is_reliable ? ' ' : '*');
fprintf(stderr, "<br>\n");
}
return summary_lang;
}
// Not a good answer -- do recursive call to refine
if (FLAGS_cld_html || FLAGS_dbgscore) {
// This is what we hope to improve on in the recursive call, if any
PrintLangs(stderr, language3, percent3, text_bytes, is_reliable);
}
// For restriction to Top40 + one, the one is 1st/2nd lang that is not Top40
// For this purpose, we treate "Ignore" as top40
Language new_plus_one = UNKNOWN_LANGUAGE;
if (cld::kIsPackedTop40[cld::PackLanguage(language3[0])] == 0) {
new_plus_one = language3[0];
} else if (cld::kIsPackedTop40[cld::PackLanguage(language3[1])] == 0) {
new_plus_one = language3[1];
}
if (total_text_bytes < kShortTextThresh) {
// Short text: Recursive call with top40 and short set
if (FLAGS_cld_html || FLAGS_dbgscore) {
fprintf(stderr, " ---text_bytes[%d] "
"Recursive(Top40/Rep/Short/Words)---<br><br>\n",
total_text_bytes);
}
return DetectLanguageSummaryV25(
tables,
buffer,
buffer_length,
is_plain_text,
do_pick_summary_language,
do_remove_weak_matches,
tld_hint, // "id" boosts Indonesian
encoding_hint, // SJS boosts Japanese
language_hint, // ITALIAN boosts it
allow_extended_lang,
flags | kCLDFlagTop40 | kCLDFlagRepeats |
kCLDFlagShort | kCLDFlagUseWords | kCLDFlagFinish,
new_plus_one,
language3,
percent3,
normalized_score3,
text_bytes,
is_reliable);
}
// Longer text: Recursive call with top40 set
if (FLAGS_cld_html || FLAGS_dbgscore) {
fprintf(stderr,
" ---text_bytes[%d] Recursive(Top40/Rep)---<br><br>\n",
total_text_bytes);
}
return DetectLanguageSummaryV25(
tables,
buffer,
buffer_length,
is_plain_text,
do_pick_summary_language,
do_remove_weak_matches,
tld_hint, // "id" boosts Indonesian
encoding_hint, // SJS boosts Japanese
language_hint, // ITALIAN boosts it
allow_extended_lang,
flags | kCLDFlagTop40 | kCLDFlagRepeats |
kCLDFlagFinish,
new_plus_one,
language3,
percent3,
normalized_score3,
text_bytes,
is_reliable);
} // End CompactLangDetImpl::DetectLanguageSummaryV25