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Unified Diff: third_party/cld/bar/toolbar/cld/i18n/encodings/compact_lang_det/compact_lang_det_impl.h

Issue 122007: [chromium-reviews] Add Compact Language Detection (CLD) library to Chrome. This works in Windows... (Closed) Base URL: svn://chrome-svn/chrome/trunk/src/
Patch Set: '' Created 11 years, 6 months ago
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Index: third_party/cld/bar/toolbar/cld/i18n/encodings/compact_lang_det/compact_lang_det_impl.h
===================================================================
--- third_party/cld/bar/toolbar/cld/i18n/encodings/compact_lang_det/compact_lang_det_impl.h (revision 0)
+++ third_party/cld/bar/toolbar/cld/i18n/encodings/compact_lang_det/compact_lang_det_impl.h (revision 0)
@@ -0,0 +1,165 @@
+// Copyright (c) 2006-2009 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.
+
+#ifndef I18N_ENCODINGS_COMPACT_LANG_DET_COMPACT_LANG_DET_IMPL_H_
+#define I18N_ENCODINGS_COMPACT_LANG_DET_COMPACT_LANG_DET_IMPL_H_
+
+#include "third_party/cld/bar/toolbar/cld/i18n/encodings/lang_enc.h"
+#include "third_party/cld/bar/toolbar/cld/i18n/encodings/compact_lang_det/win/cld_basictypes.h"
+
+
+static const int kCLDFlagFinish = 1;
+static const int kCLDFlagSqueeze = 2;
+static const int kCLDFlagRepeats = 4;
+static const int kCLDFlagTop40 = 8;
+static const int kCLDFlagShort = 16;
+static const int kCLDFlagHint = 32; // Experimental, undebugged
+static const int kCLDFlagUseWords = 64;
+
+/***
+
+Flag meanings:
+
+Flags are used in the context of a recursive call from Detect to itself,
+trying to deal in a more restrictive way with input that was not reliably
+identified in the top-level call.
+
+Finish -- Do not further recurse; return whatever result ensues, even if it is
+ unreliable. Typically set in any recursive call to take a second try
+ on unreliable text.
+
+Squeeze -- For each text run, do an inplace cheapsqueeze to remove chunks of
+ highly repetitive text and chunks of text with too many 1- and
+ 2-letter words. This avoids scoring repetitive or useless non-text
+ crap in large files such bogus JPEGs within an HTML file.
+
+Repeats -- When scoring a text run, do a cheap prediction of each character
+ and do not score a unigram/quadgram if the last character of same is
+ correctly predicted. This is a slower, finer-grained form of
+ cheapsqueeze, typically used when the first pass got unreliable
+ results.
+
+Top40 -- Restrict the set of scored languages to the Google "Top 40*", which is
+ actually 38 languages. This gets rid of about 110 language that
+ represent about 0.7% of the web. Typically used when the first pass
+ got unreliable results.
+
+Short -- Use trigram (three letter) scoring instad of quadgrams. Restricted to
+ the top 40* languages, Latin and Cyrillic scripts only.
+ Not as precise as quadgrams, but it gives some plausible result on
+ 1- or 2-word text in major languages.
+
+Hint -- EXPERIMENTAL flag for compact_lang_det_test.cc to indicate a language
+ hint supplied in parameter plus_one.
+
+UseWords -- In additon to scoring quad/uni/nil-grams, score complete words
+
+Tentative decision logic:
+
+In the middle of first pass -- After 4KB of text, look at the front 256 bytes
+ of every full 4KB buffer. If it compresses very well (say 3:1) or has
+ lots of spaces (say 1 of every 4 bytes), assume that the input is
+ large and contains lots of bogus non-text. Recurse, passing the
+ Squeeze flag to strip out chunks of this non-text.
+
+At the end of the first pass --
+ If the top language is reliable and >= 70% of the document, return.
+ Else if the top language is reliable and top+2nd >= say 94%, return.
+ Else, either the top language is not reliable or there is a lot of
+ other crap.
+***/
+
+
+
+namespace CompactLangDetImpl {
+ // Scan interchange-valid UTF-8 bytes and detect most likely language,
+ // or set of languages.
+ //
+ // Design goals:
+ // Skip over big stretches of HTML tags
+ // Able to return ranges of different languages
+ // Relatively small tables and relatively fast processing
+ // Thread safe
+ //
+
+ typedef struct {
+ int perscript_count;
+ const Language* perscript_lang;
+ } PerScriptPair;
+
+ typedef struct {
+ // Constants for hashing 4-7 byte quadgram to 32 bits
+ const int kQuadHashB4Shift;
+ const int kQuadHashB4bShift;
+ const int kQuadHashB5Shift;
+ const int kQuadHashB5bShift;
+ // Constants for hashing 32 bits to kQuadKeyTable subscript/key
+ const int kHashvalToSubShift;
+ const uint32 kHashvalToSubMask;
+ const int kHashvalToKeyShift;
+ const uint32 kHashvalToKeyMask;
+ const int kHashvalAssociativity;
+ // Pointers to the actual tables
+ const PerScriptPair* kPerScriptPair;
+ const uint16* kQuadKeyTable;
+ const uint32* kQuadValueTable;
+ } LangDetObj;
+
+ // For HTML documents, tags are skipped, along with <script> ... </script>
+ // and <style> ... </style> sequences, and entities are expanded.
+ //
+ // We distinguish between bytes of the raw input buffer and bytes of non-tag
+ // text letters. Since tags can be over 50% of the bytes of an HTML Page,
+ // and are nearly all seven-bit ASCII English, we prefer to distinguish
+ // language mixture fractions based on just the non-tag text.
+ //
+ // Inputs: text and text_length
+ // is_plain_text if true says to NOT parse/skip HTML tags nor entities
+ // Outputs:
+ // language3 is an array of the top 3 languages or UNKNOWN_LANGUAGE
+ // percent3 is an array of the text percentages 0..100 of the top 3 languages
+ // normalized_score3 is an array of internal scores, normalized to the
+ // average score for each language over a body of training text. A
+ // normalized score significantly away from 1.0 indicates very skewed text
+ // or gibberish.
+ //
+ // text_bytes is the amount of non-tag/letters-only text found
+ // is_reliable set true if the returned Language is at least 2**30 times more
+ // probable then the second-best Language
+ //
+ // Return value: the most likely Language for the majority of the input text
+ // Length 0 input and text with no reliable letter sequences returns
+ // UNKNOWN_LANGUAGE
+ //
+ // Subsetting: For fast detection over large documents, these routines will
+ // scan non-tag text of the initial part of a document, then will
+ // skip 4-16 bytes and subsample text in the rest of the document, up to a
+ // fixed limit (currently 160KB of non-tag letters).
+ //
+
+ Language DetectLanguageSummaryV25(
+ const char* buffer,
+ int buffer_length,
+ bool is_plain_text,
+ 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);
+
+ // For unit testing:
+ // 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.
+ // Return the new, possibly-shorter length
+ int CheapSqueezeInplace(char* isrc, int srclen, int ichunksize);
+}; // End namespace CompactLangDetImpl
+
+#endif // I18N_ENCODINGS_COMPACT_LANG_DET_COMPACT_LANG_DET_IMPL_H_
Property changes on: third_party\cld\bar\toolbar\cld\i18n\encodings\compact_lang_det\compact_lang_det_impl.h
___________________________________________________________________
Added: svn:eol-style
+ LF

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