| // © 2016 and later: Unicode, Inc. and others. |
| // License & terms of use: http://www.unicode.org/copyright.html |
| /** |
| ******************************************************************************* |
| * Copyright (C) 2006-2016, International Business Machines Corporation |
| * and others. All Rights Reserved. |
| ******************************************************************************* |
| */ |
| |
| #include <utility> |
| |
| #include "unicode/utypes.h" |
| |
| #if !UCONFIG_NO_BREAK_ITERATION |
| |
| #if defined(STARBOARD) |
| #include "starboard/client_porting/poem/assert_poem.h" |
| #include "starboard/client_porting/poem/string_poem.h" |
| #endif // defined(STARBOARD) |
| #include "brkeng.h" |
| #include "dictbe.h" |
| #include "unicode/uniset.h" |
| #include "unicode/chariter.h" |
| #include "unicode/ubrk.h" |
| #include "utracimp.h" |
| #include "uvectr32.h" |
| #include "uvector.h" |
| #include "uassert.h" |
| #include "unicode/normlzr.h" |
| #include "cmemory.h" |
| #include "dictionarydata.h" |
| |
| U_NAMESPACE_BEGIN |
| |
| /* |
| ****************************************************************** |
| */ |
| |
| DictionaryBreakEngine::DictionaryBreakEngine() { |
| } |
| |
| DictionaryBreakEngine::~DictionaryBreakEngine() { |
| } |
| |
| UBool |
| DictionaryBreakEngine::handles(UChar32 c) const { |
| return fSet.contains(c); |
| } |
| |
| int32_t |
| DictionaryBreakEngine::findBreaks( UText *text, |
| int32_t startPos, |
| int32_t endPos, |
| UVector32 &foundBreaks ) const { |
| (void)startPos; // TODO: remove this param? |
| int32_t result = 0; |
| |
| // Find the span of characters included in the set. |
| // The span to break begins at the current position in the text, and |
| // extends towards the start or end of the text, depending on 'reverse'. |
| |
| int32_t start = (int32_t)utext_getNativeIndex(text); |
| int32_t current; |
| int32_t rangeStart; |
| int32_t rangeEnd; |
| UChar32 c = utext_current32(text); |
| while((current = (int32_t)utext_getNativeIndex(text)) < endPos && fSet.contains(c)) { |
| utext_next32(text); // TODO: recast loop for postincrement |
| c = utext_current32(text); |
| } |
| rangeStart = start; |
| rangeEnd = current; |
| result = divideUpDictionaryRange(text, rangeStart, rangeEnd, foundBreaks); |
| utext_setNativeIndex(text, current); |
| |
| return result; |
| } |
| |
| void |
| DictionaryBreakEngine::setCharacters( const UnicodeSet &set ) { |
| fSet = set; |
| // Compact for caching |
| fSet.compact(); |
| } |
| |
| /* |
| ****************************************************************** |
| * PossibleWord |
| */ |
| |
| // Helper class for improving readability of the Thai/Lao/Khmer word break |
| // algorithm. The implementation is completely inline. |
| |
| // List size, limited by the maximum number of words in the dictionary |
| // that form a nested sequence. |
| static const int32_t POSSIBLE_WORD_LIST_MAX = 20; |
| |
| class PossibleWord { |
| private: |
| // list of word candidate lengths, in increasing length order |
| // TODO: bytes would be sufficient for word lengths. |
| int32_t count; // Count of candidates |
| int32_t prefix; // The longest match with a dictionary word |
| int32_t offset; // Offset in the text of these candidates |
| int32_t mark; // The preferred candidate's offset |
| int32_t current; // The candidate we're currently looking at |
| int32_t cuLengths[POSSIBLE_WORD_LIST_MAX]; // Word Lengths, in code units. |
| int32_t cpLengths[POSSIBLE_WORD_LIST_MAX]; // Word Lengths, in code points. |
| |
| public: |
| PossibleWord() : count(0), prefix(0), offset(-1), mark(0), current(0) {} |
| ~PossibleWord() {} |
| |
| // Fill the list of candidates if needed, select the longest, and return the number found |
| int32_t candidates( UText *text, DictionaryMatcher *dict, int32_t rangeEnd ); |
| |
| // Select the currently marked candidate, point after it in the text, and invalidate self |
| int32_t acceptMarked( UText *text ); |
| |
| // Back up from the current candidate to the next shorter one; return TRUE if that exists |
| // and point the text after it |
| UBool backUp( UText *text ); |
| |
| // Return the longest prefix this candidate location shares with a dictionary word |
| // Return value is in code points. |
| int32_t longestPrefix() { return prefix; } |
| |
| // Mark the current candidate as the one we like |
| void markCurrent() { mark = current; } |
| |
| // Get length in code points of the marked word. |
| int32_t markedCPLength() { return cpLengths[mark]; } |
| }; |
| |
| |
| int32_t PossibleWord::candidates( UText *text, DictionaryMatcher *dict, int32_t rangeEnd ) { |
| // TODO: If getIndex is too slow, use offset < 0 and add discardAll() |
| int32_t start = (int32_t)utext_getNativeIndex(text); |
| if (start != offset) { |
| offset = start; |
| count = dict->matches(text, rangeEnd-start, UPRV_LENGTHOF(cuLengths), cuLengths, cpLengths, NULL, &prefix); |
| // Dictionary leaves text after longest prefix, not longest word. Back up. |
| if (count <= 0) { |
| utext_setNativeIndex(text, start); |
| } |
| } |
| if (count > 0) { |
| utext_setNativeIndex(text, start+cuLengths[count-1]); |
| } |
| current = count-1; |
| mark = current; |
| return count; |
| } |
| |
| int32_t |
| PossibleWord::acceptMarked( UText *text ) { |
| utext_setNativeIndex(text, offset + cuLengths[mark]); |
| return cuLengths[mark]; |
| } |
| |
| |
| UBool |
| PossibleWord::backUp( UText *text ) { |
| if (current > 0) { |
| utext_setNativeIndex(text, offset + cuLengths[--current]); |
| return TRUE; |
| } |
| return FALSE; |
| } |
| |
| /* |
| ****************************************************************** |
| * ThaiBreakEngine |
| */ |
| |
| // How many words in a row are "good enough"? |
| static const int32_t THAI_LOOKAHEAD = 3; |
| |
| // Will not combine a non-word with a preceding dictionary word longer than this |
| static const int32_t THAI_ROOT_COMBINE_THRESHOLD = 3; |
| |
| // Will not combine a non-word that shares at least this much prefix with a |
| // dictionary word, with a preceding word |
| static const int32_t THAI_PREFIX_COMBINE_THRESHOLD = 3; |
| |
| // Ellision character |
| static const int32_t THAI_PAIYANNOI = 0x0E2F; |
| |
| // Repeat character |
| static const int32_t THAI_MAIYAMOK = 0x0E46; |
| |
| // Minimum word size |
| static const int32_t THAI_MIN_WORD = 2; |
| |
| // Minimum number of characters for two words |
| static const int32_t THAI_MIN_WORD_SPAN = THAI_MIN_WORD * 2; |
| |
| ThaiBreakEngine::ThaiBreakEngine(DictionaryMatcher *adoptDictionary, UErrorCode &status) |
| : DictionaryBreakEngine(), |
| fDictionary(adoptDictionary) |
| { |
| UTRACE_ENTRY(UTRACE_UBRK_CREATE_BREAK_ENGINE); |
| UTRACE_DATA1(UTRACE_INFO, "dictbe=%s", "Thai"); |
| fThaiWordSet.applyPattern(UNICODE_STRING_SIMPLE("[[:Thai:]&[:LineBreak=SA:]]"), status); |
| if (U_SUCCESS(status)) { |
| setCharacters(fThaiWordSet); |
| } |
| fMarkSet.applyPattern(UNICODE_STRING_SIMPLE("[[:Thai:]&[:LineBreak=SA:]&[:M:]]"), status); |
| fMarkSet.add(0x0020); |
| fEndWordSet = fThaiWordSet; |
| fEndWordSet.remove(0x0E31); // MAI HAN-AKAT |
| fEndWordSet.remove(0x0E40, 0x0E44); // SARA E through SARA AI MAIMALAI |
| fBeginWordSet.add(0x0E01, 0x0E2E); // KO KAI through HO NOKHUK |
| fBeginWordSet.add(0x0E40, 0x0E44); // SARA E through SARA AI MAIMALAI |
| fSuffixSet.add(THAI_PAIYANNOI); |
| fSuffixSet.add(THAI_MAIYAMOK); |
| |
| // Compact for caching. |
| fMarkSet.compact(); |
| fEndWordSet.compact(); |
| fBeginWordSet.compact(); |
| fSuffixSet.compact(); |
| UTRACE_EXIT_STATUS(status); |
| } |
| |
| ThaiBreakEngine::~ThaiBreakEngine() { |
| delete fDictionary; |
| } |
| |
| int32_t |
| ThaiBreakEngine::divideUpDictionaryRange( UText *text, |
| int32_t rangeStart, |
| int32_t rangeEnd, |
| UVector32 &foundBreaks ) const { |
| utext_setNativeIndex(text, rangeStart); |
| utext_moveIndex32(text, THAI_MIN_WORD_SPAN); |
| if (utext_getNativeIndex(text) >= rangeEnd) { |
| return 0; // Not enough characters for two words |
| } |
| utext_setNativeIndex(text, rangeStart); |
| |
| |
| uint32_t wordsFound = 0; |
| int32_t cpWordLength = 0; // Word Length in Code Points. |
| int32_t cuWordLength = 0; // Word length in code units (UText native indexing) |
| int32_t current; |
| UErrorCode status = U_ZERO_ERROR; |
| PossibleWord words[THAI_LOOKAHEAD]; |
| |
| utext_setNativeIndex(text, rangeStart); |
| |
| while (U_SUCCESS(status) && (current = (int32_t)utext_getNativeIndex(text)) < rangeEnd) { |
| cpWordLength = 0; |
| cuWordLength = 0; |
| |
| // Look for candidate words at the current position |
| int32_t candidates = words[wordsFound%THAI_LOOKAHEAD].candidates(text, fDictionary, rangeEnd); |
| |
| // If we found exactly one, use that |
| if (candidates == 1) { |
| cuWordLength = words[wordsFound % THAI_LOOKAHEAD].acceptMarked(text); |
| cpWordLength = words[wordsFound % THAI_LOOKAHEAD].markedCPLength(); |
| wordsFound += 1; |
| } |
| // If there was more than one, see which one can take us forward the most words |
| else if (candidates > 1) { |
| // If we're already at the end of the range, we're done |
| if ((int32_t)utext_getNativeIndex(text) >= rangeEnd) { |
| goto foundBest; |
| } |
| do { |
| int32_t wordsMatched = 1; |
| if (words[(wordsFound + 1) % THAI_LOOKAHEAD].candidates(text, fDictionary, rangeEnd) > 0) { |
| if (wordsMatched < 2) { |
| // Followed by another dictionary word; mark first word as a good candidate |
| words[wordsFound%THAI_LOOKAHEAD].markCurrent(); |
| wordsMatched = 2; |
| } |
| |
| // If we're already at the end of the range, we're done |
| if ((int32_t)utext_getNativeIndex(text) >= rangeEnd) { |
| goto foundBest; |
| } |
| |
| // See if any of the possible second words is followed by a third word |
| do { |
| // If we find a third word, stop right away |
| if (words[(wordsFound + 2) % THAI_LOOKAHEAD].candidates(text, fDictionary, rangeEnd)) { |
| words[wordsFound % THAI_LOOKAHEAD].markCurrent(); |
| goto foundBest; |
| } |
| } |
| while (words[(wordsFound + 1) % THAI_LOOKAHEAD].backUp(text)); |
| } |
| } |
| while (words[wordsFound % THAI_LOOKAHEAD].backUp(text)); |
| foundBest: |
| // Set UText position to after the accepted word. |
| cuWordLength = words[wordsFound % THAI_LOOKAHEAD].acceptMarked(text); |
| cpWordLength = words[wordsFound % THAI_LOOKAHEAD].markedCPLength(); |
| wordsFound += 1; |
| } |
| |
| // We come here after having either found a word or not. We look ahead to the |
| // next word. If it's not a dictionary word, we will combine it with the word we |
| // just found (if there is one), but only if the preceding word does not exceed |
| // the threshold. |
| // The text iterator should now be positioned at the end of the word we found. |
| |
| UChar32 uc = 0; |
| if ((int32_t)utext_getNativeIndex(text) < rangeEnd && cpWordLength < THAI_ROOT_COMBINE_THRESHOLD) { |
| // if it is a dictionary word, do nothing. If it isn't, then if there is |
| // no preceding word, or the non-word shares less than the minimum threshold |
| // of characters with a dictionary word, then scan to resynchronize |
| if (words[wordsFound % THAI_LOOKAHEAD].candidates(text, fDictionary, rangeEnd) <= 0 |
| && (cuWordLength == 0 |
| || words[wordsFound%THAI_LOOKAHEAD].longestPrefix() < THAI_PREFIX_COMBINE_THRESHOLD)) { |
| // Look for a plausible word boundary |
| int32_t remaining = rangeEnd - (current+cuWordLength); |
| UChar32 pc; |
| int32_t chars = 0; |
| for (;;) { |
| int32_t pcIndex = (int32_t)utext_getNativeIndex(text); |
| pc = utext_next32(text); |
| int32_t pcSize = (int32_t)utext_getNativeIndex(text) - pcIndex; |
| chars += pcSize; |
| remaining -= pcSize; |
| if (remaining <= 0) { |
| break; |
| } |
| uc = utext_current32(text); |
| if (fEndWordSet.contains(pc) && fBeginWordSet.contains(uc)) { |
| // Maybe. See if it's in the dictionary. |
| // NOTE: In the original Apple code, checked that the next |
| // two characters after uc were not 0x0E4C THANTHAKHAT before |
| // checking the dictionary. That is just a performance filter, |
| // but it's not clear it's faster than checking the trie. |
| int32_t num_candidates = words[(wordsFound + 1) % THAI_LOOKAHEAD].candidates(text, fDictionary, rangeEnd); |
| utext_setNativeIndex(text, current + cuWordLength + chars); |
| if (num_candidates > 0) { |
| break; |
| } |
| } |
| } |
| |
| // Bump the word count if there wasn't already one |
| if (cuWordLength <= 0) { |
| wordsFound += 1; |
| } |
| |
| // Update the length with the passed-over characters |
| cuWordLength += chars; |
| } |
| else { |
| // Back up to where we were for next iteration |
| utext_setNativeIndex(text, current+cuWordLength); |
| } |
| } |
| |
| // Never stop before a combining mark. |
| int32_t currPos; |
| while ((currPos = (int32_t)utext_getNativeIndex(text)) < rangeEnd && fMarkSet.contains(utext_current32(text))) { |
| utext_next32(text); |
| cuWordLength += (int32_t)utext_getNativeIndex(text) - currPos; |
| } |
| |
| // Look ahead for possible suffixes if a dictionary word does not follow. |
| // We do this in code rather than using a rule so that the heuristic |
| // resynch continues to function. For example, one of the suffix characters |
| // could be a typo in the middle of a word. |
| if ((int32_t)utext_getNativeIndex(text) < rangeEnd && cuWordLength > 0) { |
| if (words[wordsFound%THAI_LOOKAHEAD].candidates(text, fDictionary, rangeEnd) <= 0 |
| && fSuffixSet.contains(uc = utext_current32(text))) { |
| if (uc == THAI_PAIYANNOI) { |
| if (!fSuffixSet.contains(utext_previous32(text))) { |
| // Skip over previous end and PAIYANNOI |
| utext_next32(text); |
| int32_t paiyannoiIndex = (int32_t)utext_getNativeIndex(text); |
| utext_next32(text); |
| cuWordLength += (int32_t)utext_getNativeIndex(text) - paiyannoiIndex; // Add PAIYANNOI to word |
| uc = utext_current32(text); // Fetch next character |
| } |
| else { |
| // Restore prior position |
| utext_next32(text); |
| } |
| } |
| if (uc == THAI_MAIYAMOK) { |
| if (utext_previous32(text) != THAI_MAIYAMOK) { |
| // Skip over previous end and MAIYAMOK |
| utext_next32(text); |
| int32_t maiyamokIndex = (int32_t)utext_getNativeIndex(text); |
| utext_next32(text); |
| cuWordLength += (int32_t)utext_getNativeIndex(text) - maiyamokIndex; // Add MAIYAMOK to word |
| } |
| else { |
| // Restore prior position |
| utext_next32(text); |
| } |
| } |
| } |
| else { |
| utext_setNativeIndex(text, current+cuWordLength); |
| } |
| } |
| |
| // Did we find a word on this iteration? If so, push it on the break stack |
| if (cuWordLength > 0) { |
| foundBreaks.push((current+cuWordLength), status); |
| } |
| } |
| |
| // Don't return a break for the end of the dictionary range if there is one there. |
| if (foundBreaks.peeki() >= rangeEnd) { |
| (void) foundBreaks.popi(); |
| wordsFound -= 1; |
| } |
| |
| return wordsFound; |
| } |
| |
| /* |
| ****************************************************************** |
| * LaoBreakEngine |
| */ |
| |
| // How many words in a row are "good enough"? |
| static const int32_t LAO_LOOKAHEAD = 3; |
| |
| // Will not combine a non-word with a preceding dictionary word longer than this |
| static const int32_t LAO_ROOT_COMBINE_THRESHOLD = 3; |
| |
| // Will not combine a non-word that shares at least this much prefix with a |
| // dictionary word, with a preceding word |
| static const int32_t LAO_PREFIX_COMBINE_THRESHOLD = 3; |
| |
| // Minimum word size |
| static const int32_t LAO_MIN_WORD = 2; |
| |
| // Minimum number of characters for two words |
| static const int32_t LAO_MIN_WORD_SPAN = LAO_MIN_WORD * 2; |
| |
| LaoBreakEngine::LaoBreakEngine(DictionaryMatcher *adoptDictionary, UErrorCode &status) |
| : DictionaryBreakEngine(), |
| fDictionary(adoptDictionary) |
| { |
| UTRACE_ENTRY(UTRACE_UBRK_CREATE_BREAK_ENGINE); |
| UTRACE_DATA1(UTRACE_INFO, "dictbe=%s", "Laoo"); |
| fLaoWordSet.applyPattern(UNICODE_STRING_SIMPLE("[[:Laoo:]&[:LineBreak=SA:]]"), status); |
| if (U_SUCCESS(status)) { |
| setCharacters(fLaoWordSet); |
| } |
| fMarkSet.applyPattern(UNICODE_STRING_SIMPLE("[[:Laoo:]&[:LineBreak=SA:]&[:M:]]"), status); |
| fMarkSet.add(0x0020); |
| fEndWordSet = fLaoWordSet; |
| fEndWordSet.remove(0x0EC0, 0x0EC4); // prefix vowels |
| fBeginWordSet.add(0x0E81, 0x0EAE); // basic consonants (including holes for corresponding Thai characters) |
| fBeginWordSet.add(0x0EDC, 0x0EDD); // digraph consonants (no Thai equivalent) |
| fBeginWordSet.add(0x0EC0, 0x0EC4); // prefix vowels |
| |
| // Compact for caching. |
| fMarkSet.compact(); |
| fEndWordSet.compact(); |
| fBeginWordSet.compact(); |
| UTRACE_EXIT_STATUS(status); |
| } |
| |
| LaoBreakEngine::~LaoBreakEngine() { |
| delete fDictionary; |
| } |
| |
| int32_t |
| LaoBreakEngine::divideUpDictionaryRange( UText *text, |
| int32_t rangeStart, |
| int32_t rangeEnd, |
| UVector32 &foundBreaks ) const { |
| if ((rangeEnd - rangeStart) < LAO_MIN_WORD_SPAN) { |
| return 0; // Not enough characters for two words |
| } |
| |
| uint32_t wordsFound = 0; |
| int32_t cpWordLength = 0; |
| int32_t cuWordLength = 0; |
| int32_t current; |
| UErrorCode status = U_ZERO_ERROR; |
| PossibleWord words[LAO_LOOKAHEAD]; |
| |
| utext_setNativeIndex(text, rangeStart); |
| |
| while (U_SUCCESS(status) && (current = (int32_t)utext_getNativeIndex(text)) < rangeEnd) { |
| cuWordLength = 0; |
| cpWordLength = 0; |
| |
| // Look for candidate words at the current position |
| int32_t candidates = words[wordsFound%LAO_LOOKAHEAD].candidates(text, fDictionary, rangeEnd); |
| |
| // If we found exactly one, use that |
| if (candidates == 1) { |
| cuWordLength = words[wordsFound % LAO_LOOKAHEAD].acceptMarked(text); |
| cpWordLength = words[wordsFound % LAO_LOOKAHEAD].markedCPLength(); |
| wordsFound += 1; |
| } |
| // If there was more than one, see which one can take us forward the most words |
| else if (candidates > 1) { |
| // If we're already at the end of the range, we're done |
| if (utext_getNativeIndex(text) >= rangeEnd) { |
| goto foundBest; |
| } |
| do { |
| int32_t wordsMatched = 1; |
| if (words[(wordsFound + 1) % LAO_LOOKAHEAD].candidates(text, fDictionary, rangeEnd) > 0) { |
| if (wordsMatched < 2) { |
| // Followed by another dictionary word; mark first word as a good candidate |
| words[wordsFound%LAO_LOOKAHEAD].markCurrent(); |
| wordsMatched = 2; |
| } |
| |
| // If we're already at the end of the range, we're done |
| if ((int32_t)utext_getNativeIndex(text) >= rangeEnd) { |
| goto foundBest; |
| } |
| |
| // See if any of the possible second words is followed by a third word |
| do { |
| // If we find a third word, stop right away |
| if (words[(wordsFound + 2) % LAO_LOOKAHEAD].candidates(text, fDictionary, rangeEnd)) { |
| words[wordsFound % LAO_LOOKAHEAD].markCurrent(); |
| goto foundBest; |
| } |
| } |
| while (words[(wordsFound + 1) % LAO_LOOKAHEAD].backUp(text)); |
| } |
| } |
| while (words[wordsFound % LAO_LOOKAHEAD].backUp(text)); |
| foundBest: |
| cuWordLength = words[wordsFound % LAO_LOOKAHEAD].acceptMarked(text); |
| cpWordLength = words[wordsFound % LAO_LOOKAHEAD].markedCPLength(); |
| wordsFound += 1; |
| } |
| |
| // We come here after having either found a word or not. We look ahead to the |
| // next word. If it's not a dictionary word, we will combine it withe the word we |
| // just found (if there is one), but only if the preceding word does not exceed |
| // the threshold. |
| // The text iterator should now be positioned at the end of the word we found. |
| if ((int32_t)utext_getNativeIndex(text) < rangeEnd && cpWordLength < LAO_ROOT_COMBINE_THRESHOLD) { |
| // if it is a dictionary word, do nothing. If it isn't, then if there is |
| // no preceding word, or the non-word shares less than the minimum threshold |
| // of characters with a dictionary word, then scan to resynchronize |
| if (words[wordsFound % LAO_LOOKAHEAD].candidates(text, fDictionary, rangeEnd) <= 0 |
| && (cuWordLength == 0 |
| || words[wordsFound%LAO_LOOKAHEAD].longestPrefix() < LAO_PREFIX_COMBINE_THRESHOLD)) { |
| // Look for a plausible word boundary |
| int32_t remaining = rangeEnd - (current + cuWordLength); |
| UChar32 pc; |
| UChar32 uc; |
| int32_t chars = 0; |
| for (;;) { |
| int32_t pcIndex = (int32_t)utext_getNativeIndex(text); |
| pc = utext_next32(text); |
| int32_t pcSize = (int32_t)utext_getNativeIndex(text) - pcIndex; |
| chars += pcSize; |
| remaining -= pcSize; |
| if (remaining <= 0) { |
| break; |
| } |
| uc = utext_current32(text); |
| if (fEndWordSet.contains(pc) && fBeginWordSet.contains(uc)) { |
| // Maybe. See if it's in the dictionary. |
| // TODO: this looks iffy; compare with old code. |
| int32_t num_candidates = words[(wordsFound + 1) % LAO_LOOKAHEAD].candidates(text, fDictionary, rangeEnd); |
| utext_setNativeIndex(text, current + cuWordLength + chars); |
| if (num_candidates > 0) { |
| break; |
| } |
| } |
| } |
| |
| // Bump the word count if there wasn't already one |
| if (cuWordLength <= 0) { |
| wordsFound += 1; |
| } |
| |
| // Update the length with the passed-over characters |
| cuWordLength += chars; |
| } |
| else { |
| // Back up to where we were for next iteration |
| utext_setNativeIndex(text, current + cuWordLength); |
| } |
| } |
| |
| // Never stop before a combining mark. |
| int32_t currPos; |
| while ((currPos = (int32_t)utext_getNativeIndex(text)) < rangeEnd && fMarkSet.contains(utext_current32(text))) { |
| utext_next32(text); |
| cuWordLength += (int32_t)utext_getNativeIndex(text) - currPos; |
| } |
| |
| // Look ahead for possible suffixes if a dictionary word does not follow. |
| // We do this in code rather than using a rule so that the heuristic |
| // resynch continues to function. For example, one of the suffix characters |
| // could be a typo in the middle of a word. |
| // NOT CURRENTLY APPLICABLE TO LAO |
| |
| // Did we find a word on this iteration? If so, push it on the break stack |
| if (cuWordLength > 0) { |
| foundBreaks.push((current+cuWordLength), status); |
| } |
| } |
| |
| // Don't return a break for the end of the dictionary range if there is one there. |
| if (foundBreaks.peeki() >= rangeEnd) { |
| (void) foundBreaks.popi(); |
| wordsFound -= 1; |
| } |
| |
| return wordsFound; |
| } |
| |
| /* |
| ****************************************************************** |
| * BurmeseBreakEngine |
| */ |
| |
| // How many words in a row are "good enough"? |
| static const int32_t BURMESE_LOOKAHEAD = 3; |
| |
| // Will not combine a non-word with a preceding dictionary word longer than this |
| static const int32_t BURMESE_ROOT_COMBINE_THRESHOLD = 3; |
| |
| // Will not combine a non-word that shares at least this much prefix with a |
| // dictionary word, with a preceding word |
| static const int32_t BURMESE_PREFIX_COMBINE_THRESHOLD = 3; |
| |
| // Minimum word size |
| static const int32_t BURMESE_MIN_WORD = 2; |
| |
| // Minimum number of characters for two words |
| static const int32_t BURMESE_MIN_WORD_SPAN = BURMESE_MIN_WORD * 2; |
| |
| BurmeseBreakEngine::BurmeseBreakEngine(DictionaryMatcher *adoptDictionary, UErrorCode &status) |
| : DictionaryBreakEngine(), |
| fDictionary(adoptDictionary) |
| { |
| UTRACE_ENTRY(UTRACE_UBRK_CREATE_BREAK_ENGINE); |
| UTRACE_DATA1(UTRACE_INFO, "dictbe=%s", "Mymr"); |
| fBurmeseWordSet.applyPattern(UNICODE_STRING_SIMPLE("[[:Mymr:]&[:LineBreak=SA:]]"), status); |
| if (U_SUCCESS(status)) { |
| setCharacters(fBurmeseWordSet); |
| } |
| fMarkSet.applyPattern(UNICODE_STRING_SIMPLE("[[:Mymr:]&[:LineBreak=SA:]&[:M:]]"), status); |
| fMarkSet.add(0x0020); |
| fEndWordSet = fBurmeseWordSet; |
| fBeginWordSet.add(0x1000, 0x102A); // basic consonants and independent vowels |
| |
| // Compact for caching. |
| fMarkSet.compact(); |
| fEndWordSet.compact(); |
| fBeginWordSet.compact(); |
| UTRACE_EXIT_STATUS(status); |
| } |
| |
| BurmeseBreakEngine::~BurmeseBreakEngine() { |
| delete fDictionary; |
| } |
| |
| int32_t |
| BurmeseBreakEngine::divideUpDictionaryRange( UText *text, |
| int32_t rangeStart, |
| int32_t rangeEnd, |
| UVector32 &foundBreaks ) const { |
| if ((rangeEnd - rangeStart) < BURMESE_MIN_WORD_SPAN) { |
| return 0; // Not enough characters for two words |
| } |
| |
| uint32_t wordsFound = 0; |
| int32_t cpWordLength = 0; |
| int32_t cuWordLength = 0; |
| int32_t current; |
| UErrorCode status = U_ZERO_ERROR; |
| PossibleWord words[BURMESE_LOOKAHEAD]; |
| |
| utext_setNativeIndex(text, rangeStart); |
| |
| while (U_SUCCESS(status) && (current = (int32_t)utext_getNativeIndex(text)) < rangeEnd) { |
| cuWordLength = 0; |
| cpWordLength = 0; |
| |
| // Look for candidate words at the current position |
| int32_t candidates = words[wordsFound%BURMESE_LOOKAHEAD].candidates(text, fDictionary, rangeEnd); |
| |
| // If we found exactly one, use that |
| if (candidates == 1) { |
| cuWordLength = words[wordsFound % BURMESE_LOOKAHEAD].acceptMarked(text); |
| cpWordLength = words[wordsFound % BURMESE_LOOKAHEAD].markedCPLength(); |
| wordsFound += 1; |
| } |
| // If there was more than one, see which one can take us forward the most words |
| else if (candidates > 1) { |
| // If we're already at the end of the range, we're done |
| if (utext_getNativeIndex(text) >= rangeEnd) { |
| goto foundBest; |
| } |
| do { |
| int32_t wordsMatched = 1; |
| if (words[(wordsFound + 1) % BURMESE_LOOKAHEAD].candidates(text, fDictionary, rangeEnd) > 0) { |
| if (wordsMatched < 2) { |
| // Followed by another dictionary word; mark first word as a good candidate |
| words[wordsFound%BURMESE_LOOKAHEAD].markCurrent(); |
| wordsMatched = 2; |
| } |
| |
| // If we're already at the end of the range, we're done |
| if ((int32_t)utext_getNativeIndex(text) >= rangeEnd) { |
| goto foundBest; |
| } |
| |
| // See if any of the possible second words is followed by a third word |
| do { |
| // If we find a third word, stop right away |
| if (words[(wordsFound + 2) % BURMESE_LOOKAHEAD].candidates(text, fDictionary, rangeEnd)) { |
| words[wordsFound % BURMESE_LOOKAHEAD].markCurrent(); |
| goto foundBest; |
| } |
| } |
| while (words[(wordsFound + 1) % BURMESE_LOOKAHEAD].backUp(text)); |
| } |
| } |
| while (words[wordsFound % BURMESE_LOOKAHEAD].backUp(text)); |
| foundBest: |
| cuWordLength = words[wordsFound % BURMESE_LOOKAHEAD].acceptMarked(text); |
| cpWordLength = words[wordsFound % BURMESE_LOOKAHEAD].markedCPLength(); |
| wordsFound += 1; |
| } |
| |
| // We come here after having either found a word or not. We look ahead to the |
| // next word. If it's not a dictionary word, we will combine it withe the word we |
| // just found (if there is one), but only if the preceding word does not exceed |
| // the threshold. |
| // The text iterator should now be positioned at the end of the word we found. |
| if ((int32_t)utext_getNativeIndex(text) < rangeEnd && cpWordLength < BURMESE_ROOT_COMBINE_THRESHOLD) { |
| // if it is a dictionary word, do nothing. If it isn't, then if there is |
| // no preceding word, or the non-word shares less than the minimum threshold |
| // of characters with a dictionary word, then scan to resynchronize |
| if (words[wordsFound % BURMESE_LOOKAHEAD].candidates(text, fDictionary, rangeEnd) <= 0 |
| && (cuWordLength == 0 |
| || words[wordsFound%BURMESE_LOOKAHEAD].longestPrefix() < BURMESE_PREFIX_COMBINE_THRESHOLD)) { |
| // Look for a plausible word boundary |
| int32_t remaining = rangeEnd - (current + cuWordLength); |
| UChar32 pc; |
| UChar32 uc; |
| int32_t chars = 0; |
| for (;;) { |
| int32_t pcIndex = (int32_t)utext_getNativeIndex(text); |
| pc = utext_next32(text); |
| int32_t pcSize = (int32_t)utext_getNativeIndex(text) - pcIndex; |
| chars += pcSize; |
| remaining -= pcSize; |
| if (remaining <= 0) { |
| break; |
| } |
| uc = utext_current32(text); |
| if (fEndWordSet.contains(pc) && fBeginWordSet.contains(uc)) { |
| // Maybe. See if it's in the dictionary. |
| // TODO: this looks iffy; compare with old code. |
| int32_t num_candidates = words[(wordsFound + 1) % BURMESE_LOOKAHEAD].candidates(text, fDictionary, rangeEnd); |
| utext_setNativeIndex(text, current + cuWordLength + chars); |
| if (num_candidates > 0) { |
| break; |
| } |
| } |
| } |
| |
| // Bump the word count if there wasn't already one |
| if (cuWordLength <= 0) { |
| wordsFound += 1; |
| } |
| |
| // Update the length with the passed-over characters |
| cuWordLength += chars; |
| } |
| else { |
| // Back up to where we were for next iteration |
| utext_setNativeIndex(text, current + cuWordLength); |
| } |
| } |
| |
| // Never stop before a combining mark. |
| int32_t currPos; |
| while ((currPos = (int32_t)utext_getNativeIndex(text)) < rangeEnd && fMarkSet.contains(utext_current32(text))) { |
| utext_next32(text); |
| cuWordLength += (int32_t)utext_getNativeIndex(text) - currPos; |
| } |
| |
| // Look ahead for possible suffixes if a dictionary word does not follow. |
| // We do this in code rather than using a rule so that the heuristic |
| // resynch continues to function. For example, one of the suffix characters |
| // could be a typo in the middle of a word. |
| // NOT CURRENTLY APPLICABLE TO BURMESE |
| |
| // Did we find a word on this iteration? If so, push it on the break stack |
| if (cuWordLength > 0) { |
| foundBreaks.push((current+cuWordLength), status); |
| } |
| } |
| |
| // Don't return a break for the end of the dictionary range if there is one there. |
| if (foundBreaks.peeki() >= rangeEnd) { |
| (void) foundBreaks.popi(); |
| wordsFound -= 1; |
| } |
| |
| return wordsFound; |
| } |
| |
| /* |
| ****************************************************************** |
| * KhmerBreakEngine |
| */ |
| |
| // How many words in a row are "good enough"? |
| static const int32_t KHMER_LOOKAHEAD = 3; |
| |
| // Will not combine a non-word with a preceding dictionary word longer than this |
| static const int32_t KHMER_ROOT_COMBINE_THRESHOLD = 10; |
| |
| // Will not combine a non-word that shares at least this much prefix with a |
| // dictionary word, with a preceding word |
| static const int32_t KHMER_PREFIX_COMBINE_THRESHOLD = 5; |
| |
| // Minimum word size |
| static const int32_t KHMER_MIN_WORD = 2; |
| |
| // Minimum number of characters for two words |
| static const int32_t KHMER_MIN_WORD_SPAN = KHMER_MIN_WORD * 2; |
| |
| KhmerBreakEngine::KhmerBreakEngine(DictionaryMatcher *adoptDictionary, UErrorCode &status) |
| : DictionaryBreakEngine(), |
| fDictionary(adoptDictionary) |
| { |
| UTRACE_ENTRY(UTRACE_UBRK_CREATE_BREAK_ENGINE); |
| UTRACE_DATA1(UTRACE_INFO, "dictbe=%s", "Khmr"); |
| fKhmerWordSet.applyPattern(UNICODE_STRING_SIMPLE("[[:Khmr:]&[:LineBreak=SA:]]"), status); |
| if (U_SUCCESS(status)) { |
| setCharacters(fKhmerWordSet); |
| } |
| fMarkSet.applyPattern(UNICODE_STRING_SIMPLE("[[:Khmr:]&[:LineBreak=SA:]&[:M:]]"), status); |
| fMarkSet.add(0x0020); |
| fEndWordSet = fKhmerWordSet; |
| fBeginWordSet.add(0x1780, 0x17B3); |
| //fBeginWordSet.add(0x17A3, 0x17A4); // deprecated vowels |
| //fEndWordSet.remove(0x17A5, 0x17A9); // Khmer independent vowels that can't end a word |
| //fEndWordSet.remove(0x17B2); // Khmer independent vowel that can't end a word |
| fEndWordSet.remove(0x17D2); // KHMER SIGN COENG that combines some following characters |
| //fEndWordSet.remove(0x17B6, 0x17C5); // Remove dependent vowels |
| // fEndWordSet.remove(0x0E31); // MAI HAN-AKAT |
| // fEndWordSet.remove(0x0E40, 0x0E44); // SARA E through SARA AI MAIMALAI |
| // fBeginWordSet.add(0x0E01, 0x0E2E); // KO KAI through HO NOKHUK |
| // fBeginWordSet.add(0x0E40, 0x0E44); // SARA E through SARA AI MAIMALAI |
| // fSuffixSet.add(THAI_PAIYANNOI); |
| // fSuffixSet.add(THAI_MAIYAMOK); |
| |
| // Compact for caching. |
| fMarkSet.compact(); |
| fEndWordSet.compact(); |
| fBeginWordSet.compact(); |
| // fSuffixSet.compact(); |
| UTRACE_EXIT_STATUS(status); |
| } |
| |
| KhmerBreakEngine::~KhmerBreakEngine() { |
| delete fDictionary; |
| } |
| |
| int32_t |
| KhmerBreakEngine::divideUpDictionaryRange( UText *text, |
| int32_t rangeStart, |
| int32_t rangeEnd, |
| UVector32 &foundBreaks ) const { |
| if ((rangeEnd - rangeStart) < KHMER_MIN_WORD_SPAN) { |
| return 0; // Not enough characters for two words |
| } |
| |
| uint32_t wordsFound = 0; |
| int32_t cpWordLength = 0; |
| int32_t cuWordLength = 0; |
| int32_t current; |
| UErrorCode status = U_ZERO_ERROR; |
| PossibleWord words[KHMER_LOOKAHEAD]; |
| |
| utext_setNativeIndex(text, rangeStart); |
| |
| while (U_SUCCESS(status) && (current = (int32_t)utext_getNativeIndex(text)) < rangeEnd) { |
| cuWordLength = 0; |
| cpWordLength = 0; |
| |
| // Look for candidate words at the current position |
| int32_t candidates = words[wordsFound%KHMER_LOOKAHEAD].candidates(text, fDictionary, rangeEnd); |
| |
| // If we found exactly one, use that |
| if (candidates == 1) { |
| cuWordLength = words[wordsFound % KHMER_LOOKAHEAD].acceptMarked(text); |
| cpWordLength = words[wordsFound % KHMER_LOOKAHEAD].markedCPLength(); |
| wordsFound += 1; |
| } |
| |
| // If there was more than one, see which one can take us forward the most words |
| else if (candidates > 1) { |
| // If we're already at the end of the range, we're done |
| if ((int32_t)utext_getNativeIndex(text) >= rangeEnd) { |
| goto foundBest; |
| } |
| do { |
| int32_t wordsMatched = 1; |
| if (words[(wordsFound + 1) % KHMER_LOOKAHEAD].candidates(text, fDictionary, rangeEnd) > 0) { |
| if (wordsMatched < 2) { |
| // Followed by another dictionary word; mark first word as a good candidate |
| words[wordsFound % KHMER_LOOKAHEAD].markCurrent(); |
| wordsMatched = 2; |
| } |
| |
| // If we're already at the end of the range, we're done |
| if ((int32_t)utext_getNativeIndex(text) >= rangeEnd) { |
| goto foundBest; |
| } |
| |
| // See if any of the possible second words is followed by a third word |
| do { |
| // If we find a third word, stop right away |
| if (words[(wordsFound + 2) % KHMER_LOOKAHEAD].candidates(text, fDictionary, rangeEnd)) { |
| words[wordsFound % KHMER_LOOKAHEAD].markCurrent(); |
| goto foundBest; |
| } |
| } |
| while (words[(wordsFound + 1) % KHMER_LOOKAHEAD].backUp(text)); |
| } |
| } |
| while (words[wordsFound % KHMER_LOOKAHEAD].backUp(text)); |
| foundBest: |
| cuWordLength = words[wordsFound % KHMER_LOOKAHEAD].acceptMarked(text); |
| cpWordLength = words[wordsFound % KHMER_LOOKAHEAD].markedCPLength(); |
| wordsFound += 1; |
| } |
| |
| // We come here after having either found a word or not. We look ahead to the |
| // next word. If it's not a dictionary word, we will combine it with the word we |
| // just found (if there is one), but only if the preceding word does not exceed |
| // the threshold. |
| // The text iterator should now be positioned at the end of the word we found. |
| if ((int32_t)utext_getNativeIndex(text) < rangeEnd && cpWordLength < KHMER_ROOT_COMBINE_THRESHOLD) { |
| // if it is a dictionary word, do nothing. If it isn't, then if there is |
| // no preceding word, or the non-word shares less than the minimum threshold |
| // of characters with a dictionary word, then scan to resynchronize |
| if (words[wordsFound % KHMER_LOOKAHEAD].candidates(text, fDictionary, rangeEnd) <= 0 |
| && (cuWordLength == 0 |
| || words[wordsFound % KHMER_LOOKAHEAD].longestPrefix() < KHMER_PREFIX_COMBINE_THRESHOLD)) { |
| // Look for a plausible word boundary |
| int32_t remaining = rangeEnd - (current+cuWordLength); |
| UChar32 pc; |
| UChar32 uc; |
| int32_t chars = 0; |
| for (;;) { |
| int32_t pcIndex = (int32_t)utext_getNativeIndex(text); |
| pc = utext_next32(text); |
| int32_t pcSize = (int32_t)utext_getNativeIndex(text) - pcIndex; |
| chars += pcSize; |
| remaining -= pcSize; |
| if (remaining <= 0) { |
| break; |
| } |
| uc = utext_current32(text); |
| if (fEndWordSet.contains(pc) && fBeginWordSet.contains(uc)) { |
| // Maybe. See if it's in the dictionary. |
| int32_t num_candidates = words[(wordsFound + 1) % KHMER_LOOKAHEAD].candidates(text, fDictionary, rangeEnd); |
| utext_setNativeIndex(text, current+cuWordLength+chars); |
| if (num_candidates > 0) { |
| break; |
| } |
| } |
| } |
| |
| // Bump the word count if there wasn't already one |
| if (cuWordLength <= 0) { |
| wordsFound += 1; |
| } |
| |
| // Update the length with the passed-over characters |
| cuWordLength += chars; |
| } |
| else { |
| // Back up to where we were for next iteration |
| utext_setNativeIndex(text, current+cuWordLength); |
| } |
| } |
| |
| // Never stop before a combining mark. |
| int32_t currPos; |
| while ((currPos = (int32_t)utext_getNativeIndex(text)) < rangeEnd && fMarkSet.contains(utext_current32(text))) { |
| utext_next32(text); |
| cuWordLength += (int32_t)utext_getNativeIndex(text) - currPos; |
| } |
| |
| // Look ahead for possible suffixes if a dictionary word does not follow. |
| // We do this in code rather than using a rule so that the heuristic |
| // resynch continues to function. For example, one of the suffix characters |
| // could be a typo in the middle of a word. |
| // if ((int32_t)utext_getNativeIndex(text) < rangeEnd && wordLength > 0) { |
| // if (words[wordsFound%KHMER_LOOKAHEAD].candidates(text, fDictionary, rangeEnd) <= 0 |
| // && fSuffixSet.contains(uc = utext_current32(text))) { |
| // if (uc == KHMER_PAIYANNOI) { |
| // if (!fSuffixSet.contains(utext_previous32(text))) { |
| // // Skip over previous end and PAIYANNOI |
| // utext_next32(text); |
| // utext_next32(text); |
| // wordLength += 1; // Add PAIYANNOI to word |
| // uc = utext_current32(text); // Fetch next character |
| // } |
| // else { |
| // // Restore prior position |
| // utext_next32(text); |
| // } |
| // } |
| // if (uc == KHMER_MAIYAMOK) { |
| // if (utext_previous32(text) != KHMER_MAIYAMOK) { |
| // // Skip over previous end and MAIYAMOK |
| // utext_next32(text); |
| // utext_next32(text); |
| // wordLength += 1; // Add MAIYAMOK to word |
| // } |
| // else { |
| // // Restore prior position |
| // utext_next32(text); |
| // } |
| // } |
| // } |
| // else { |
| // utext_setNativeIndex(text, current+wordLength); |
| // } |
| // } |
| |
| // Did we find a word on this iteration? If so, push it on the break stack |
| if (cuWordLength > 0) { |
| foundBreaks.push((current+cuWordLength), status); |
| } |
| } |
| |
| // Don't return a break for the end of the dictionary range if there is one there. |
| if (foundBreaks.peeki() >= rangeEnd) { |
| (void) foundBreaks.popi(); |
| wordsFound -= 1; |
| } |
| |
| return wordsFound; |
| } |
| |
| #if !UCONFIG_NO_NORMALIZATION |
| /* |
| ****************************************************************** |
| * CjkBreakEngine |
| */ |
| static const uint32_t kuint32max = 0xFFFFFFFF; |
| CjkBreakEngine::CjkBreakEngine(DictionaryMatcher *adoptDictionary, LanguageType type, UErrorCode &status) |
| : DictionaryBreakEngine(), fDictionary(adoptDictionary) { |
| UTRACE_ENTRY(UTRACE_UBRK_CREATE_BREAK_ENGINE); |
| UTRACE_DATA1(UTRACE_INFO, "dictbe=%s", "Hani"); |
| // Korean dictionary only includes Hangul syllables |
| fHangulWordSet.applyPattern(UNICODE_STRING_SIMPLE("[\\uac00-\\ud7a3]"), status); |
| fHanWordSet.applyPattern(UNICODE_STRING_SIMPLE("[:Han:]"), status); |
| fKatakanaWordSet.applyPattern(UNICODE_STRING_SIMPLE("[[:Katakana:]\\uff9e\\uff9f]"), status); |
| fHiraganaWordSet.applyPattern(UNICODE_STRING_SIMPLE("[:Hiragana:]"), status); |
| nfkcNorm2 = Normalizer2::getNFKCInstance(status); |
| |
| if (U_SUCCESS(status)) { |
| // handle Korean and Japanese/Chinese using different dictionaries |
| if (type == kKorean) { |
| setCharacters(fHangulWordSet); |
| } else { //Chinese and Japanese |
| UnicodeSet cjSet; |
| cjSet.addAll(fHanWordSet); |
| cjSet.addAll(fKatakanaWordSet); |
| cjSet.addAll(fHiraganaWordSet); |
| cjSet.add(0xFF70); // HALFWIDTH KATAKANA-HIRAGANA PROLONGED SOUND MARK |
| cjSet.add(0x30FC); // KATAKANA-HIRAGANA PROLONGED SOUND MARK |
| setCharacters(cjSet); |
| } |
| } |
| UTRACE_EXIT_STATUS(status); |
| } |
| |
| CjkBreakEngine::~CjkBreakEngine(){ |
| delete fDictionary; |
| } |
| |
| // The katakanaCost values below are based on the length frequencies of all |
| // katakana phrases in the dictionary |
| static const int32_t kMaxKatakanaLength = 8; |
| static const int32_t kMaxKatakanaGroupLength = 20; |
| static const uint32_t maxSnlp = 255; |
| |
| static inline uint32_t getKatakanaCost(int32_t wordLength){ |
| //TODO: fill array with actual values from dictionary! |
| static const uint32_t katakanaCost[kMaxKatakanaLength + 1] |
| = {8192, 984, 408, 240, 204, 252, 300, 372, 480}; |
| return (wordLength > kMaxKatakanaLength) ? 8192 : katakanaCost[wordLength]; |
| } |
| |
| static inline bool isKatakana(UChar32 value) { |
| return (value >= 0x30A1 && value <= 0x30FE && value != 0x30FB) || |
| (value >= 0xFF66 && value <= 0xFF9f); |
| } |
| |
| |
| // Function for accessing internal utext flags. |
| // Replicates an internal UText function. |
| |
| static inline int32_t utext_i32_flag(int32_t bitIndex) { |
| return (int32_t)1 << bitIndex; |
| } |
| |
| |
| /* |
| * @param text A UText representing the text |
| * @param rangeStart The start of the range of dictionary characters |
| * @param rangeEnd The end of the range of dictionary characters |
| * @param foundBreaks vector<int32> to receive the break positions |
| * @return The number of breaks found |
| */ |
| int32_t |
| CjkBreakEngine::divideUpDictionaryRange( UText *inText, |
| int32_t rangeStart, |
| int32_t rangeEnd, |
| UVector32 &foundBreaks ) const { |
| if (rangeStart >= rangeEnd) { |
| return 0; |
| } |
| |
| // UnicodeString version of input UText, NFKC normalized if necessary. |
| UnicodeString inString; |
| |
| // inputMap[inStringIndex] = corresponding native index from UText inText. |
| // If NULL then mapping is 1:1 |
| LocalPointer<UVector32> inputMap; |
| |
| UErrorCode status = U_ZERO_ERROR; |
| |
| |
| // if UText has the input string as one contiguous UTF-16 chunk |
| if ((inText->providerProperties & utext_i32_flag(UTEXT_PROVIDER_STABLE_CHUNKS)) && |
| inText->chunkNativeStart <= rangeStart && |
| inText->chunkNativeLimit >= rangeEnd && |
| inText->nativeIndexingLimit >= rangeEnd - inText->chunkNativeStart) { |
| |
| // Input UText is in one contiguous UTF-16 chunk. |
| // Use Read-only aliasing UnicodeString. |
| inString.setTo(FALSE, |
| inText->chunkContents + rangeStart - inText->chunkNativeStart, |
| rangeEnd - rangeStart); |
| } else { |
| // Copy the text from the original inText (UText) to inString (UnicodeString). |
| // Create a map from UnicodeString indices -> UText offsets. |
| utext_setNativeIndex(inText, rangeStart); |
| int32_t limit = rangeEnd; |
| U_ASSERT(limit <= utext_nativeLength(inText)); |
| if (limit > utext_nativeLength(inText)) { |
| limit = (int32_t)utext_nativeLength(inText); |
| } |
| inputMap.adoptInsteadAndCheckErrorCode(new UVector32(status), status); |
| if (U_FAILURE(status)) { |
| return 0; |
| } |
| while (utext_getNativeIndex(inText) < limit) { |
| int32_t nativePosition = (int32_t)utext_getNativeIndex(inText); |
| UChar32 c = utext_next32(inText); |
| U_ASSERT(c != U_SENTINEL); |
| inString.append(c); |
| while (inputMap->size() < inString.length()) { |
| inputMap->addElement(nativePosition, status); |
| } |
| } |
| inputMap->addElement(limit, status); |
| } |
| |
| |
| if (!nfkcNorm2->isNormalized(inString, status)) { |
| UnicodeString normalizedInput; |
| // normalizedMap[normalizedInput position] == original UText position. |
| LocalPointer<UVector32> normalizedMap(new UVector32(status), status); |
| if (U_FAILURE(status)) { |
| return 0; |
| } |
| |
| UnicodeString fragment; |
| UnicodeString normalizedFragment; |
| for (int32_t srcI = 0; srcI < inString.length();) { // Once per normalization chunk |
| fragment.remove(); |
| int32_t fragmentStartI = srcI; |
| UChar32 c = inString.char32At(srcI); |
| for (;;) { |
| fragment.append(c); |
| srcI = inString.moveIndex32(srcI, 1); |
| if (srcI == inString.length()) { |
| break; |
| } |
| c = inString.char32At(srcI); |
| if (nfkcNorm2->hasBoundaryBefore(c)) { |
| break; |
| } |
| } |
| nfkcNorm2->normalize(fragment, normalizedFragment, status); |
| normalizedInput.append(normalizedFragment); |
| |
| // Map every position in the normalized chunk to the start of the chunk |
| // in the original input. |
| int32_t fragmentOriginalStart = inputMap.isValid() ? |
| inputMap->elementAti(fragmentStartI) : fragmentStartI+rangeStart; |
| while (normalizedMap->size() < normalizedInput.length()) { |
| normalizedMap->addElement(fragmentOriginalStart, status); |
| if (U_FAILURE(status)) { |
| break; |
| } |
| } |
| } |
| U_ASSERT(normalizedMap->size() == normalizedInput.length()); |
| int32_t nativeEnd = inputMap.isValid() ? |
| inputMap->elementAti(inString.length()) : inString.length()+rangeStart; |
| normalizedMap->addElement(nativeEnd, status); |
| |
| inputMap = std::move(normalizedMap); |
| inString = std::move(normalizedInput); |
| } |
| |
| int32_t numCodePts = inString.countChar32(); |
| if (numCodePts != inString.length()) { |
| // There are supplementary characters in the input. |
| // The dictionary will produce boundary positions in terms of code point indexes, |
| // not in terms of code unit string indexes. |
| // Use the inputMap mechanism to take care of this in addition to indexing differences |
| // from normalization and/or UTF-8 input. |
| UBool hadExistingMap = inputMap.isValid(); |
| if (!hadExistingMap) { |
| inputMap.adoptInsteadAndCheckErrorCode(new UVector32(status), status); |
| if (U_FAILURE(status)) { |
| return 0; |
| } |
| } |
| int32_t cpIdx = 0; |
| for (int32_t cuIdx = 0; ; cuIdx = inString.moveIndex32(cuIdx, 1)) { |
| U_ASSERT(cuIdx >= cpIdx); |
| if (hadExistingMap) { |
| inputMap->setElementAt(inputMap->elementAti(cuIdx), cpIdx); |
| } else { |
| inputMap->addElement(cuIdx+rangeStart, status); |
| } |
| cpIdx++; |
| if (cuIdx == inString.length()) { |
| break; |
| } |
| } |
| } |
| |
| // bestSnlp[i] is the snlp of the best segmentation of the first i |
| // code points in the range to be matched. |
| UVector32 bestSnlp(numCodePts + 1, status); |
| bestSnlp.addElement(0, status); |
| for(int32_t i = 1; i <= numCodePts; i++) { |
| bestSnlp.addElement(kuint32max, status); |
| } |
| |
| |
| // prev[i] is the index of the last CJK code point in the previous word in |
| // the best segmentation of the first i characters. |
| UVector32 prev(numCodePts + 1, status); |
| for(int32_t i = 0; i <= numCodePts; i++){ |
| prev.addElement(-1, status); |
| } |
| |
| const int32_t maxWordSize = 20; |
| UVector32 values(numCodePts, status); |
| values.setSize(numCodePts); |
| UVector32 lengths(numCodePts, status); |
| lengths.setSize(numCodePts); |
| |
| UText fu = UTEXT_INITIALIZER; |
| utext_openUnicodeString(&fu, &inString, &status); |
| |
| // Dynamic programming to find the best segmentation. |
| |
| // In outer loop, i is the code point index, |
| // ix is the corresponding string (code unit) index. |
| // They differ when the string contains supplementary characters. |
| int32_t ix = 0; |
| bool is_prev_katakana = false; |
| for (int32_t i = 0; i < numCodePts; ++i, ix = inString.moveIndex32(ix, 1)) { |
| if ((uint32_t)bestSnlp.elementAti(i) == kuint32max) { |
| continue; |
| } |
| |
| int32_t count; |
| utext_setNativeIndex(&fu, ix); |
| count = fDictionary->matches(&fu, maxWordSize, numCodePts, |
| NULL, lengths.getBuffer(), values.getBuffer(), NULL); |
| // Note: lengths is filled with code point lengths |
| // The NULL parameter is the ignored code unit lengths. |
| |
| // if there are no single character matches found in the dictionary |
| // starting with this character, treat character as a 1-character word |
| // with the highest value possible, i.e. the least likely to occur. |
| // Exclude Korean characters from this treatment, as they should be left |
| // together by default. |
| if ((count == 0 || lengths.elementAti(0) != 1) && |
| !fHangulWordSet.contains(inString.char32At(ix))) { |
| values.setElementAt(maxSnlp, count); // 255 |
| lengths.setElementAt(1, count++); |
| } |
| |
| for (int32_t j = 0; j < count; j++) { |
| uint32_t newSnlp = (uint32_t)bestSnlp.elementAti(i) + (uint32_t)values.elementAti(j); |
| int32_t ln_j_i = lengths.elementAti(j) + i; |
| if (newSnlp < (uint32_t)bestSnlp.elementAti(ln_j_i)) { |
| bestSnlp.setElementAt(newSnlp, ln_j_i); |
| prev.setElementAt(i, ln_j_i); |
| } |
| } |
| |
| // In Japanese, |
| // Katakana word in single character is pretty rare. So we apply |
| // the following heuristic to Katakana: any continuous run of Katakana |
| // characters is considered a candidate word with a default cost |
| // specified in the katakanaCost table according to its length. |
| |
| bool is_katakana = isKatakana(inString.char32At(ix)); |
| int32_t katakanaRunLength = 1; |
| if (!is_prev_katakana && is_katakana) { |
| int32_t j = inString.moveIndex32(ix, 1); |
| // Find the end of the continuous run of Katakana characters |
| while (j < inString.length() && katakanaRunLength < kMaxKatakanaGroupLength && |
| isKatakana(inString.char32At(j))) { |
| j = inString.moveIndex32(j, 1); |
| katakanaRunLength++; |
| } |
| if (katakanaRunLength < kMaxKatakanaGroupLength) { |
| uint32_t newSnlp = bestSnlp.elementAti(i) + getKatakanaCost(katakanaRunLength); |
| if (newSnlp < (uint32_t)bestSnlp.elementAti(i+katakanaRunLength)) { |
| bestSnlp.setElementAt(newSnlp, i+katakanaRunLength); |
| prev.setElementAt(i, i+katakanaRunLength); // prev[j] = i; |
| } |
| } |
| } |
| is_prev_katakana = is_katakana; |
| } |
| utext_close(&fu); |
| |
| // Start pushing the optimal offset index into t_boundary (t for tentative). |
| // prev[numCodePts] is guaranteed to be meaningful. |
| // We'll first push in the reverse order, i.e., |
| // t_boundary[0] = numCodePts, and afterwards do a swap. |
| UVector32 t_boundary(numCodePts+1, status); |
| |
| int32_t numBreaks = 0; |
| // No segmentation found, set boundary to end of range |
| if ((uint32_t)bestSnlp.elementAti(numCodePts) == kuint32max) { |
| t_boundary.addElement(numCodePts, status); |
| numBreaks++; |
| } else { |
| for (int32_t i = numCodePts; i > 0; i = prev.elementAti(i)) { |
| t_boundary.addElement(i, status); |
| numBreaks++; |
| } |
| U_ASSERT(prev.elementAti(t_boundary.elementAti(numBreaks - 1)) == 0); |
| } |
| |
| // Add a break for the start of the dictionary range if there is not one |
| // there already. |
| if (foundBreaks.size() == 0 || foundBreaks.peeki() < rangeStart) { |
| t_boundary.addElement(0, status); |
| numBreaks++; |
| } |
| |
| // Now that we're done, convert positions in t_boundary[] (indices in |
| // the normalized input string) back to indices in the original input UText |
| // while reversing t_boundary and pushing values to foundBreaks. |
| int32_t prevCPPos = -1; |
| int32_t prevUTextPos = -1; |
| for (int32_t i = numBreaks-1; i >= 0; i--) { |
| int32_t cpPos = t_boundary.elementAti(i); |
| U_ASSERT(cpPos > prevCPPos); |
| int32_t utextPos = inputMap.isValid() ? inputMap->elementAti(cpPos) : cpPos + rangeStart; |
| U_ASSERT(utextPos >= prevUTextPos); |
| if (utextPos > prevUTextPos) { |
| // Boundaries are added to foundBreaks output in ascending order. |
| U_ASSERT(foundBreaks.size() == 0 || foundBreaks.peeki() < utextPos); |
| foundBreaks.push(utextPos, status); |
| } else { |
| // Normalization expanded the input text, the dictionary found a boundary |
| // within the expansion, giving two boundaries with the same index in the |
| // original text. Ignore the second. See ticket #12918. |
| --numBreaks; |
| } |
| prevCPPos = cpPos; |
| prevUTextPos = utextPos; |
| } |
| (void)prevCPPos; // suppress compiler warnings about unused variable |
| |
| // inString goes out of scope |
| // inputMap goes out of scope |
| return numBreaks; |
| } |
| #endif |
| |
| U_NAMESPACE_END |
| |
| #endif /* #if !UCONFIG_NO_BREAK_ITERATION */ |
| |
