Support n-gram for look-up.
Bug: 14425059 Change-Id: I19523c29fb802cd65158c7540d1608e7f55c4ca7main
parent
3676c11472
commit
4926b90ec5
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@ -167,6 +167,14 @@ int LanguageModelDictContent::createAndGetBitmapEntryIndex(const WordIdArrayView
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if (lastBitmapEntryIndex == TrieMap::INVALID_INDEX) {
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return TrieMap::INVALID_INDEX;
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}
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const int oldestPrevWordId = prevWordIds[prevWordIds.size() - 1];
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const TrieMap::Result result = mTrieMap.get(oldestPrevWordId, lastBitmapEntryIndex);
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if (!result.mIsValid) {
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if (!mTrieMap.put(oldestPrevWordId,
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ProbabilityEntry().encode(mHasHistoricalInfo), lastBitmapEntryIndex)) {
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return TrieMap::INVALID_INDEX;
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}
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}
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return mTrieMap.getNextLevelBitmapEntryIndex(prevWordIds[prevWordIds.size() - 1],
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lastBitmapEntryIndex);
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}
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@ -36,7 +36,8 @@ class ProbabilityEntry {
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// Dummy entry
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ProbabilityEntry()
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: mFlags(0), mProbability(NOT_A_PROBABILITY), mHistoricalInfo() {}
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: mFlags(Ver4DictConstants::FLAG_NOT_A_VALID_ENTRY), mProbability(NOT_A_PROBABILITY),
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mHistoricalInfo() {}
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// Entry without historical information
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ProbabilityEntry(const int flags, const int probability)
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@ -61,7 +62,7 @@ class ProbabilityEntry {
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bigramProperty->getCount()) {}
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bool isValid() const {
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return (mProbability != NOT_A_PROBABILITY) || hasHistoricalInfo();
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return (mFlags & Ver4DictConstants::FLAG_NOT_A_VALID_ENTRY) == 0;
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}
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bool hasHistoricalInfo() const {
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@ -53,6 +53,7 @@ const int Ver4DictConstants::WORD_LEVEL_FIELD_SIZE = 1;
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const int Ver4DictConstants::WORD_COUNT_FIELD_SIZE = 1;
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const uint8_t Ver4DictConstants::FLAG_REPRESENTS_BEGINNING_OF_SENTENCE = 0x1;
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const uint8_t Ver4DictConstants::FLAG_NOT_A_VALID_ENTRY = 0x2;
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const int Ver4DictConstants::SHORTCUT_ADDRESS_TABLE_BLOCK_SIZE = 64;
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const int Ver4DictConstants::SHORTCUT_ADDRESS_TABLE_DATA_SIZE = 4;
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@ -51,6 +51,7 @@ class Ver4DictConstants {
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static const int WORD_COUNT_FIELD_SIZE;
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// Flags in probability entry.
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static const uint8_t FLAG_REPRESENTS_BEGINNING_OF_SENTENCE;
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static const uint8_t FLAG_NOT_A_VALID_ENTRY;
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static const int SHORTCUT_ADDRESS_TABLE_BLOCK_SIZE;
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static const int SHORTCUT_ADDRESS_TABLE_DATA_SIZE;
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@ -120,16 +120,15 @@ const WordAttributes Ver4PatriciaTriePolicy::getWordAttributesInContext(
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const int ptNodePos =
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mBuffers->getTerminalPositionLookupTable()->getTerminalPtNodePosition(wordId);
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const PtNodeParams ptNodeParams = mNodeReader.fetchPtNodeParamsInBufferFromPtNodePos(ptNodePos);
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// TODO: Support n-gram.
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const int probability = mBuffers->getLanguageModelDictContent()->getWordProbability(
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prevWordIds.limit(1 /* maxSize */), wordId, mHeaderPolicy);
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prevWordIds, wordId, mHeaderPolicy);
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return WordAttributes(probability, ptNodeParams.isBlacklisted(), ptNodeParams.isNotAWord(),
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probability == 0);
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}
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int Ver4PatriciaTriePolicy::getProbabilityOfWord(const WordIdArrayView prevWordIds,
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const int wordId) const {
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if (wordId == NOT_A_WORD_ID) {
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if (wordId == NOT_A_WORD_ID || prevWordIds.contains(NOT_A_WORD_ID)) {
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return NOT_A_PROBABILITY;
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}
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const int ptNodePos =
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@ -138,10 +137,8 @@ int Ver4PatriciaTriePolicy::getProbabilityOfWord(const WordIdArrayView prevWordI
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if (ptNodeParams.isDeleted() || ptNodeParams.isBlacklisted() || ptNodeParams.isNotAWord()) {
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return NOT_A_PROBABILITY;
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}
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// TODO: Support n-gram.
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const ProbabilityEntry probabilityEntry =
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mBuffers->getLanguageModelDictContent()->getNgramProbabilityEntry(
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prevWordIds.limit(1 /* maxSize */), wordId);
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mBuffers->getLanguageModelDictContent()->getNgramProbabilityEntry(prevWordIds, wordId);
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if (!probabilityEntry.isValid()) {
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return NOT_A_PROBABILITY;
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}
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@ -164,16 +161,18 @@ void Ver4PatriciaTriePolicy::iterateNgramEntries(const WordIdArrayView prevWordI
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if (prevWordIds.empty()) {
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return;
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}
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// TODO: Support n-gram.
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const auto languageModelDictContent = mBuffers->getLanguageModelDictContent();
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for (const auto entry : languageModelDictContent->getProbabilityEntries(
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prevWordIds.limit(1 /* maxSize */))) {
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const ProbabilityEntry &probabilityEntry = entry.getProbabilityEntry();
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const int probability = probabilityEntry.hasHistoricalInfo() ?
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ForgettingCurveUtils::decodeProbability(
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probabilityEntry.getHistoricalInfo(), mHeaderPolicy) :
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probabilityEntry.getProbability();
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listener->onVisitEntry(probability, entry.getWordId());
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for (size_t i = 1; i <= prevWordIds.size(); ++i) {
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for (const auto entry : languageModelDictContent->getProbabilityEntries(
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prevWordIds.limit(i))) {
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const ProbabilityEntry &probabilityEntry = entry.getProbabilityEntry();
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const int probability = probabilityEntry.hasHistoricalInfo() ?
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ForgettingCurveUtils::decodeProbability(
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probabilityEntry.getHistoricalInfo(), mHeaderPolicy)
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+ ForgettingCurveUtils::getProbabilityBiasForNgram(i + 1 /* n */) :
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probabilityEntry.getProbability();
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listener->onVisitEntry(probability, entry.getWordId());
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}
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}
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}
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@ -29,7 +29,7 @@ namespace {
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TEST(LanguageModelDictContentTest, TestUnigramProbability) {
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LanguageModelDictContent languageModelDictContent(false /* useHistoricalInfo */);
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const int flag = 0xFF;
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const int flag = 0xF0;
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const int probability = 10;
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const int wordId = 100;
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const ProbabilityEntry probabilityEntry(flag, probability);
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