Enable count based dynamic ngram language model for v403.
Bug: 14425059 Change-Id: Icc15e14cfd77d37cd75f75318fd0fa36f9ca7a5bmain
parent
660b00477c
commit
bcb52d73e2
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@ -81,6 +81,9 @@ void Dictionary::NgramListenerForPrediction::onVisitEntry(const int ngramProbabi
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}
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}
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const WordAttributes wordAttributes = mDictStructurePolicy->getWordAttributesInContext(
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const WordAttributes wordAttributes = mDictStructurePolicy->getWordAttributesInContext(
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mPrevWordIds, targetWordId, nullptr /* multiBigramMap */);
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mPrevWordIds, targetWordId, nullptr /* multiBigramMap */);
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if (wordAttributes.getProbability() == NOT_A_PROBABILITY) {
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return;
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}
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mSuggestionResults->addPrediction(targetWordCodePoints, codePointCount,
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mSuggestionResults->addPrediction(targetWordCodePoints, codePointCount,
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wordAttributes.getProbability());
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wordAttributes.getProbability());
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}
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}
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@ -26,6 +26,8 @@ namespace latinime {
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*/
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*/
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class NgramListener {
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class NgramListener {
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public:
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public:
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// ngramProbability is always 0 for v403 decaying dictionary.
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// TODO: Remove ngramProbability.
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virtual void onVisitEntry(const int ngramProbability, const int targetWordId) = 0;
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virtual void onVisitEntry(const int ngramProbability, const int targetWordId) = 0;
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virtual ~NgramListener() {};
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virtual ~NgramListener() {};
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@ -19,11 +19,11 @@
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#include <algorithm>
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#include <algorithm>
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#include <cstring>
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#include <cstring>
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#include "suggest/policyimpl/dictionary/utils/forgetting_curve_utils.h"
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#include "suggest/policyimpl/dictionary/structure/v4/content/dynamic_language_model_probability_utils.h"
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#include "suggest/policyimpl/dictionary/utils/probability_utils.h"
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namespace latinime {
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namespace latinime {
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const int LanguageModelDictContent::DUMMY_PROBABILITY_FOR_VALID_WORDS = 1;
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const int LanguageModelDictContent::TRIE_MAP_BUFFER_INDEX = 0;
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const int LanguageModelDictContent::TRIE_MAP_BUFFER_INDEX = 0;
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const int LanguageModelDictContent::GLOBAL_COUNTERS_BUFFER_INDEX = 1;
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const int LanguageModelDictContent::GLOBAL_COUNTERS_BUFFER_INDEX = 1;
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@ -39,7 +39,8 @@ bool LanguageModelDictContent::runGC(
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}
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}
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const WordAttributes LanguageModelDictContent::getWordAttributes(const WordIdArrayView prevWordIds,
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const WordAttributes LanguageModelDictContent::getWordAttributes(const WordIdArrayView prevWordIds,
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const int wordId, const HeaderPolicy *const headerPolicy) const {
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const int wordId, const bool mustMatchAllPrevWords,
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const HeaderPolicy *const headerPolicy) const {
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int bitmapEntryIndices[MAX_PREV_WORD_COUNT_FOR_N_GRAM + 1];
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int bitmapEntryIndices[MAX_PREV_WORD_COUNT_FOR_N_GRAM + 1];
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bitmapEntryIndices[0] = mTrieMap.getRootBitmapEntryIndex();
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bitmapEntryIndices[0] = mTrieMap.getRootBitmapEntryIndex();
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int maxPrevWordCount = 0;
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int maxPrevWordCount = 0;
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@ -53,7 +54,15 @@ const WordAttributes LanguageModelDictContent::getWordAttributes(const WordIdArr
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bitmapEntryIndices[i + 1] = nextBitmapEntryIndex;
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bitmapEntryIndices[i + 1] = nextBitmapEntryIndex;
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}
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}
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const ProbabilityEntry unigramProbabilityEntry = getProbabilityEntry(wordId);
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if (mHasHistoricalInfo && unigramProbabilityEntry.getHistoricalInfo()->getCount() == 0) {
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// The word should be treated as a invalid word.
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return WordAttributes();
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}
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for (int i = maxPrevWordCount; i >= 0; --i) {
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for (int i = maxPrevWordCount; i >= 0; --i) {
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if (mustMatchAllPrevWords && prevWordIds.size() > static_cast<size_t>(i)) {
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break;
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}
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const TrieMap::Result result = mTrieMap.get(wordId, bitmapEntryIndices[i]);
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const TrieMap::Result result = mTrieMap.get(wordId, bitmapEntryIndices[i]);
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if (!result.mIsValid) {
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if (!result.mIsValid) {
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continue;
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continue;
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@ -62,36 +71,39 @@ const WordAttributes LanguageModelDictContent::getWordAttributes(const WordIdArr
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ProbabilityEntry::decode(result.mValue, mHasHistoricalInfo);
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ProbabilityEntry::decode(result.mValue, mHasHistoricalInfo);
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int probability = NOT_A_PROBABILITY;
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int probability = NOT_A_PROBABILITY;
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if (mHasHistoricalInfo) {
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if (mHasHistoricalInfo) {
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const int rawProbability = ForgettingCurveUtils::decodeProbability(
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const HistoricalInfo *const historicalInfo = probabilityEntry.getHistoricalInfo();
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probabilityEntry.getHistoricalInfo(), headerPolicy);
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int contextCount = 0;
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if (rawProbability == NOT_A_PROBABILITY) {
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// The entry should not be treated as a valid entry.
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continue;
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}
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if (i == 0) {
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if (i == 0) {
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// unigram
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// unigram
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probability = rawProbability;
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contextCount = mGlobalCounters.getTotalCount();
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} else {
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} else {
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const ProbabilityEntry prevWordProbabilityEntry = getNgramProbabilityEntry(
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const ProbabilityEntry prevWordProbabilityEntry = getNgramProbabilityEntry(
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prevWordIds.skip(1 /* n */).limit(i - 1), prevWordIds[0]);
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prevWordIds.skip(1 /* n */).limit(i - 1), prevWordIds[0]);
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if (!prevWordProbabilityEntry.isValid()) {
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if (!prevWordProbabilityEntry.isValid()) {
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continue;
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continue;
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}
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}
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if (prevWordProbabilityEntry.representsBeginningOfSentence()) {
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if (prevWordProbabilityEntry.representsBeginningOfSentence()
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probability = rawProbability;
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&& historicalInfo->getCount() == 1) {
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} else {
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// BoS ngram requires multiple contextCount.
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const int prevWordRawProbability = ForgettingCurveUtils::decodeProbability(
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continue;
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prevWordProbabilityEntry.getHistoricalInfo(), headerPolicy);
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probability = std::min(MAX_PROBABILITY - prevWordRawProbability
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+ rawProbability, MAX_PROBABILITY);
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}
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}
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contextCount = prevWordProbabilityEntry.getHistoricalInfo()->getCount();
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}
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}
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const float rawProbability =
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DynamicLanguageModelProbabilityUtils::computeRawProbabilityFromCounts(
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historicalInfo->getCount(), contextCount, i + 1);
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const int encodedRawProbability =
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ProbabilityUtils::encodeRawProbability(rawProbability);
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const int decayedProbability =
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DynamicLanguageModelProbabilityUtils::getDecayedProbability(
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encodedRawProbability, *historicalInfo);
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probability = DynamicLanguageModelProbabilityUtils::backoff(
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decayedProbability, i + 1 /* n */);
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} else {
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} else {
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probability = probabilityEntry.getProbability();
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probability = probabilityEntry.getProbability();
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}
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}
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// TODO: Some flags in unigramProbabilityEntry should be overwritten by flags in
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// TODO: Some flags in unigramProbabilityEntry should be overwritten by flags in
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// probabilityEntry.
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// probabilityEntry.
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const ProbabilityEntry unigramProbabilityEntry = getProbabilityEntry(wordId);
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return WordAttributes(probability, unigramProbabilityEntry.isBlacklisted(),
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return WordAttributes(probability, unigramProbabilityEntry.isBlacklisted(),
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unigramProbabilityEntry.isNotAWord(),
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unigramProbabilityEntry.isNotAWord(),
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unigramProbabilityEntry.isPossiblyOffensive());
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unigramProbabilityEntry.isPossiblyOffensive());
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@ -167,7 +179,8 @@ void LanguageModelDictContent::exportAllNgramEntriesRelatedToWordInner(
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ProbabilityEntry::decode(entry.value(), mHasHistoricalInfo);
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ProbabilityEntry::decode(entry.value(), mHasHistoricalInfo);
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if (probabilityEntry.isValid()) {
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if (probabilityEntry.isValid()) {
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const WordAttributes wordAttributes = getWordAttributes(
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const WordAttributes wordAttributes = getWordAttributes(
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WordIdArrayView(*prevWordIds), wordId, headerPolicy);
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WordIdArrayView(*prevWordIds), wordId, true /* mustMatchAllPrevWords */,
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headerPolicy);
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outBummpedFullEntryInfo->emplace_back(*prevWordIds, wordId,
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outBummpedFullEntryInfo->emplace_back(*prevWordIds, wordId,
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wordAttributes, probabilityEntry);
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wordAttributes, probabilityEntry);
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}
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}
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@ -231,7 +244,7 @@ bool LanguageModelDictContent::updateAllEntriesOnInputWord(const WordIdArrayView
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return false;
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return false;
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}
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}
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mGlobalCounters.updateMaxValueOfCounters(
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mGlobalCounters.updateMaxValueOfCounters(
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updatedUnigramProbabilityEntry.getHistoricalInfo()->getCount());
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updatedNgramProbabilityEntry.getHistoricalInfo()->getCount());
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if (!originalNgramProbabilityEntry.isValid()) {
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if (!originalNgramProbabilityEntry.isValid()) {
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entryCountersToUpdate->incrementNgramCount(i + 2);
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entryCountersToUpdate->incrementNgramCount(i + 2);
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}
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}
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@ -242,10 +255,9 @@ bool LanguageModelDictContent::updateAllEntriesOnInputWord(const WordIdArrayView
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const ProbabilityEntry LanguageModelDictContent::createUpdatedEntryFrom(
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const ProbabilityEntry LanguageModelDictContent::createUpdatedEntryFrom(
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const ProbabilityEntry &originalProbabilityEntry, const bool isValid,
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const ProbabilityEntry &originalProbabilityEntry, const bool isValid,
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const HistoricalInfo historicalInfo, const HeaderPolicy *const headerPolicy) const {
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const HistoricalInfo historicalInfo, const HeaderPolicy *const headerPolicy) const {
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const HistoricalInfo updatedHistoricalInfo = ForgettingCurveUtils::createUpdatedHistoricalInfo(
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const HistoricalInfo updatedHistoricalInfo = HistoricalInfo(historicalInfo.getTimestamp(),
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originalProbabilityEntry.getHistoricalInfo(), isValid ?
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0 /* level */, originalProbabilityEntry.getHistoricalInfo()->getCount()
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DUMMY_PROBABILITY_FOR_VALID_WORDS : NOT_A_PROBABILITY,
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+ historicalInfo.getCount());
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&historicalInfo, headerPolicy);
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if (originalProbabilityEntry.isValid()) {
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if (originalProbabilityEntry.isValid()) {
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return ProbabilityEntry(originalProbabilityEntry.getFlags(), &updatedHistoricalInfo);
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return ProbabilityEntry(originalProbabilityEntry.getFlags(), &updatedHistoricalInfo);
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} else {
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} else {
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@ -311,7 +323,7 @@ int LanguageModelDictContent::getBitmapEntryIndex(const WordIdArrayView prevWord
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bool LanguageModelDictContent::updateAllProbabilityEntriesForGCInner(const int bitmapEntryIndex,
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bool LanguageModelDictContent::updateAllProbabilityEntriesForGCInner(const int bitmapEntryIndex,
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const int prevWordCount, const HeaderPolicy *const headerPolicy,
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const int prevWordCount, const HeaderPolicy *const headerPolicy,
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MutableEntryCounters *const outEntryCounters) {
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const bool needsToHalveCounters, MutableEntryCounters *const outEntryCounters) {
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for (const auto &entry : mTrieMap.getEntriesInSpecifiedLevel(bitmapEntryIndex)) {
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for (const auto &entry : mTrieMap.getEntriesInSpecifiedLevel(bitmapEntryIndex)) {
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if (prevWordCount > MAX_PREV_WORD_COUNT_FOR_N_GRAM) {
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if (prevWordCount > MAX_PREV_WORD_COUNT_FOR_N_GRAM) {
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AKLOGE("Invalid prevWordCount. prevWordCount: %d, MAX_PREV_WORD_COUNT_FOR_N_GRAM: %d.",
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AKLOGE("Invalid prevWordCount. prevWordCount: %d, MAX_PREV_WORD_COUNT_FOR_N_GRAM: %d.",
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@ -328,33 +340,41 @@ bool LanguageModelDictContent::updateAllProbabilityEntriesForGCInner(const int b
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}
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}
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continue;
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continue;
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}
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}
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if (mHasHistoricalInfo && !probabilityEntry.representsBeginningOfSentence()
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if (mHasHistoricalInfo && probabilityEntry.isValid()) {
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&& probabilityEntry.isValid()) {
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const HistoricalInfo *originalHistoricalInfo = probabilityEntry.getHistoricalInfo();
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const HistoricalInfo historicalInfo = ForgettingCurveUtils::createHistoricalInfoToSave(
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if (DynamicLanguageModelProbabilityUtils::shouldRemoveEntryDuringGC(
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probabilityEntry.getHistoricalInfo(), headerPolicy);
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*originalHistoricalInfo)) {
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if (ForgettingCurveUtils::needsToKeep(&historicalInfo, headerPolicy)) {
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// Update the entry.
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const ProbabilityEntry updatedEntry(probabilityEntry.getFlags(), &historicalInfo);
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if (!mTrieMap.put(entry.key(), updatedEntry.encode(mHasHistoricalInfo),
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bitmapEntryIndex)) {
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return false;
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}
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} else {
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// Remove the entry.
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// Remove the entry.
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if (!mTrieMap.remove(entry.key(), bitmapEntryIndex)) {
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if (!mTrieMap.remove(entry.key(), bitmapEntryIndex)) {
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return false;
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return false;
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}
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}
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continue;
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continue;
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}
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}
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if (needsToHalveCounters) {
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const int updatedCount = originalHistoricalInfo->getCount() / 2;
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if (updatedCount == 0) {
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// Remove the entry.
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if (!mTrieMap.remove(entry.key(), bitmapEntryIndex)) {
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return false;
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}
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continue;
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}
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const HistoricalInfo historicalInfoToSave(originalHistoricalInfo->getTimestamp(),
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originalHistoricalInfo->getLevel(), updatedCount);
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const ProbabilityEntry updatedEntry(probabilityEntry.getFlags(),
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&historicalInfoToSave);
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if (!mTrieMap.put(entry.key(), updatedEntry.encode(mHasHistoricalInfo),
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bitmapEntryIndex)) {
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return false;
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}
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}
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}
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}
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if (!probabilityEntry.representsBeginningOfSentence()) {
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outEntryCounters->incrementNgramCount(prevWordCount + 1);
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outEntryCounters->incrementNgramCount(prevWordCount + 1);
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}
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if (!entry.hasNextLevelMap()) {
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if (!entry.hasNextLevelMap()) {
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continue;
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continue;
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}
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}
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if (!updateAllProbabilityEntriesForGCInner(entry.getNextLevelBitmapEntryIndex(),
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if (!updateAllProbabilityEntriesForGCInner(entry.getNextLevelBitmapEntryIndex(),
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prevWordCount + 1, headerPolicy, outEntryCounters)) {
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prevWordCount + 1, headerPolicy, needsToHalveCounters, outEntryCounters)) {
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return false;
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return false;
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}
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}
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}
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}
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@ -408,11 +428,11 @@ bool LanguageModelDictContent::getEntryInfo(const HeaderPolicy *const headerPoli
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}
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}
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const ProbabilityEntry probabilityEntry =
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const ProbabilityEntry probabilityEntry =
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ProbabilityEntry::decode(entry.value(), mHasHistoricalInfo);
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ProbabilityEntry::decode(entry.value(), mHasHistoricalInfo);
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const int probability = (mHasHistoricalInfo) ?
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const int priority = mHasHistoricalInfo
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ForgettingCurveUtils::decodeProbability(probabilityEntry.getHistoricalInfo(),
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? DynamicLanguageModelProbabilityUtils::getPriorityToPreventFromEviction(
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headerPolicy) : probabilityEntry.getProbability();
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*probabilityEntry.getHistoricalInfo())
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outEntryInfo->emplace_back(probability,
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: probabilityEntry.getProbability();
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probabilityEntry.getHistoricalInfo()->getTimestamp(),
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outEntryInfo->emplace_back(priority, probabilityEntry.getHistoricalInfo()->getCount(),
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entry.key(), targetLevel, prevWordIds->data());
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entry.key(), targetLevel, prevWordIds->data());
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}
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}
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return true;
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return true;
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@ -420,11 +440,11 @@ bool LanguageModelDictContent::getEntryInfo(const HeaderPolicy *const headerPoli
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bool LanguageModelDictContent::EntryInfoToTurncate::Comparator::operator()(
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bool LanguageModelDictContent::EntryInfoToTurncate::Comparator::operator()(
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const EntryInfoToTurncate &left, const EntryInfoToTurncate &right) const {
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const EntryInfoToTurncate &left, const EntryInfoToTurncate &right) const {
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if (left.mProbability != right.mProbability) {
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if (left.mPriority != right.mPriority) {
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return left.mProbability < right.mProbability;
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return left.mPriority < right.mPriority;
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}
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}
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if (left.mTimestamp != right.mTimestamp) {
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if (left.mCount != right.mCount) {
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return left.mTimestamp > right.mTimestamp;
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return left.mCount < right.mCount;
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}
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}
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if (left.mKey != right.mKey) {
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if (left.mKey != right.mKey) {
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return left.mKey < right.mKey;
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return left.mKey < right.mKey;
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@ -441,10 +461,9 @@ bool LanguageModelDictContent::EntryInfoToTurncate::Comparator::operator()(
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return false;
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return false;
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}
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}
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LanguageModelDictContent::EntryInfoToTurncate::EntryInfoToTurncate(const int probability,
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LanguageModelDictContent::EntryInfoToTurncate::EntryInfoToTurncate(const int priority,
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const int timestamp, const int key, const int prevWordCount, const int *const prevWordIds)
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const int count, const int key, const int prevWordCount, const int *const prevWordIds)
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: mProbability(probability), mTimestamp(timestamp), mKey(key),
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: mPriority(priority), mCount(count), mKey(key), mPrevWordCount(prevWordCount) {
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mPrevWordCount(prevWordCount) {
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memmove(mPrevWordIds, prevWordIds, mPrevWordCount * sizeof(mPrevWordIds[0]));
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memmove(mPrevWordIds, prevWordIds, mPrevWordCount * sizeof(mPrevWordIds[0]));
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}
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}
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@ -151,13 +151,14 @@ class LanguageModelDictContent {
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const LanguageModelDictContent *const originalContent);
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const LanguageModelDictContent *const originalContent);
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const WordAttributes getWordAttributes(const WordIdArrayView prevWordIds, const int wordId,
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const WordAttributes getWordAttributes(const WordIdArrayView prevWordIds, const int wordId,
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const HeaderPolicy *const headerPolicy) const;
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const bool mustMatchAllPrevWords, const HeaderPolicy *const headerPolicy) const;
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ProbabilityEntry getProbabilityEntry(const int wordId) const {
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ProbabilityEntry getProbabilityEntry(const int wordId) const {
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return getNgramProbabilityEntry(WordIdArrayView(), wordId);
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return getNgramProbabilityEntry(WordIdArrayView(), wordId);
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}
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}
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bool setProbabilityEntry(const int wordId, const ProbabilityEntry *const probabilityEntry) {
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bool setProbabilityEntry(const int wordId, const ProbabilityEntry *const probabilityEntry) {
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mGlobalCounters.addToTotalCount(probabilityEntry->getHistoricalInfo()->getCount());
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return setNgramProbabilityEntry(WordIdArrayView(), wordId, probabilityEntry);
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return setNgramProbabilityEntry(WordIdArrayView(), wordId, probabilityEntry);
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}
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}
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@ -180,8 +181,15 @@ class LanguageModelDictContent {
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bool updateAllProbabilityEntriesForGC(const HeaderPolicy *const headerPolicy,
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bool updateAllProbabilityEntriesForGC(const HeaderPolicy *const headerPolicy,
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MutableEntryCounters *const outEntryCounters) {
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MutableEntryCounters *const outEntryCounters) {
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return updateAllProbabilityEntriesForGCInner(mTrieMap.getRootBitmapEntryIndex(),
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if (!updateAllProbabilityEntriesForGCInner(mTrieMap.getRootBitmapEntryIndex(),
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0 /* prevWordCount */, headerPolicy, outEntryCounters);
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0 /* prevWordCount */, headerPolicy, mGlobalCounters.needsToHalveCounters(),
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outEntryCounters)) {
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return false;
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}
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if (mGlobalCounters.needsToHalveCounters()) {
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mGlobalCounters.halveCounters();
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}
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return true;
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}
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}
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|
||||||
// entryCounts should be created by updateAllProbabilityEntries.
|
// entryCounts should be created by updateAllProbabilityEntries.
|
||||||
|
@ -206,11 +214,12 @@ class LanguageModelDictContent {
|
||||||
DISALLOW_ASSIGNMENT_OPERATOR(Comparator);
|
DISALLOW_ASSIGNMENT_OPERATOR(Comparator);
|
||||||
};
|
};
|
||||||
|
|
||||||
EntryInfoToTurncate(const int probability, const int timestamp, const int key,
|
EntryInfoToTurncate(const int priority, const int count, const int key,
|
||||||
const int prevWordCount, const int *const prevWordIds);
|
const int prevWordCount, const int *const prevWordIds);
|
||||||
|
|
||||||
int mProbability;
|
int mPriority;
|
||||||
int mTimestamp;
|
// TODO: Remove.
|
||||||
|
int mCount;
|
||||||
int mKey;
|
int mKey;
|
||||||
int mPrevWordCount;
|
int mPrevWordCount;
|
||||||
int mPrevWordIds[MAX_PREV_WORD_COUNT_FOR_N_GRAM + 1];
|
int mPrevWordIds[MAX_PREV_WORD_COUNT_FOR_N_GRAM + 1];
|
||||||
|
@ -219,8 +228,6 @@ class LanguageModelDictContent {
|
||||||
DISALLOW_DEFAULT_CONSTRUCTOR(EntryInfoToTurncate);
|
DISALLOW_DEFAULT_CONSTRUCTOR(EntryInfoToTurncate);
|
||||||
};
|
};
|
||||||
|
|
||||||
// TODO: Remove
|
|
||||||
static const int DUMMY_PROBABILITY_FOR_VALID_WORDS;
|
|
||||||
static const int TRIE_MAP_BUFFER_INDEX;
|
static const int TRIE_MAP_BUFFER_INDEX;
|
||||||
static const int GLOBAL_COUNTERS_BUFFER_INDEX;
|
static const int GLOBAL_COUNTERS_BUFFER_INDEX;
|
||||||
|
|
||||||
|
@ -233,7 +240,8 @@ class LanguageModelDictContent {
|
||||||
int createAndGetBitmapEntryIndex(const WordIdArrayView prevWordIds);
|
int createAndGetBitmapEntryIndex(const WordIdArrayView prevWordIds);
|
||||||
int getBitmapEntryIndex(const WordIdArrayView prevWordIds) const;
|
int getBitmapEntryIndex(const WordIdArrayView prevWordIds) const;
|
||||||
bool updateAllProbabilityEntriesForGCInner(const int bitmapEntryIndex, const int prevWordCount,
|
bool updateAllProbabilityEntriesForGCInner(const int bitmapEntryIndex, const int prevWordCount,
|
||||||
const HeaderPolicy *const headerPolicy, MutableEntryCounters *const outEntryCounters);
|
const HeaderPolicy *const headerPolicy, const bool needsToHalveCounters,
|
||||||
|
MutableEntryCounters *const outEntryCounters);
|
||||||
bool turncateEntriesInSpecifiedLevel(const HeaderPolicy *const headerPolicy,
|
bool turncateEntriesInSpecifiedLevel(const HeaderPolicy *const headerPolicy,
|
||||||
const int maxEntryCount, const int targetLevel, int *const outEntryCount);
|
const int maxEntryCount, const int targetLevel, int *const outEntryCount);
|
||||||
bool getEntryInfo(const HeaderPolicy *const headerPolicy, const int targetLevel,
|
bool getEntryInfo(const HeaderPolicy *const headerPolicy, const int targetLevel,
|
||||||
|
|
|
@ -63,6 +63,10 @@ class LanguageModelDictContentGlobalCounters {
|
||||||
mTotalCount += 1;
|
mTotalCount += 1;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
void addToTotalCount(const int count) {
|
||||||
|
mTotalCount += count;
|
||||||
|
}
|
||||||
|
|
||||||
void updateMaxValueOfCounters(const int count) {
|
void updateMaxValueOfCounters(const int count) {
|
||||||
mMaxValueOfCounters = std::max(count, mMaxValueOfCounters);
|
mMaxValueOfCounters = std::max(count, mMaxValueOfCounters);
|
||||||
}
|
}
|
||||||
|
|
|
@ -110,7 +110,7 @@ const WordAttributes Ver4PatriciaTriePolicy::getWordAttributesInContext(
|
||||||
return WordAttributes();
|
return WordAttributes();
|
||||||
}
|
}
|
||||||
return mBuffers->getLanguageModelDictContent()->getWordAttributes(prevWordIds, wordId,
|
return mBuffers->getLanguageModelDictContent()->getWordAttributes(prevWordIds, wordId,
|
||||||
mHeaderPolicy);
|
false /* mustMatchAllPrevWords */, mHeaderPolicy);
|
||||||
}
|
}
|
||||||
|
|
||||||
int Ver4PatriciaTriePolicy::getProbabilityOfWord(const WordIdArrayView prevWordIds,
|
int Ver4PatriciaTriePolicy::getProbabilityOfWord(const WordIdArrayView prevWordIds,
|
||||||
|
@ -118,18 +118,13 @@ int Ver4PatriciaTriePolicy::getProbabilityOfWord(const WordIdArrayView prevWordI
|
||||||
if (wordId == NOT_A_WORD_ID || prevWordIds.contains(NOT_A_WORD_ID)) {
|
if (wordId == NOT_A_WORD_ID || prevWordIds.contains(NOT_A_WORD_ID)) {
|
||||||
return NOT_A_PROBABILITY;
|
return NOT_A_PROBABILITY;
|
||||||
}
|
}
|
||||||
const ProbabilityEntry probabilityEntry =
|
const WordAttributes wordAttributes =
|
||||||
mBuffers->getLanguageModelDictContent()->getNgramProbabilityEntry(prevWordIds, wordId);
|
mBuffers->getLanguageModelDictContent()->getWordAttributes(prevWordIds, wordId,
|
||||||
if (!probabilityEntry.isValid() || probabilityEntry.isBlacklisted()
|
true /* mustMatchAllPrevWords */, mHeaderPolicy);
|
||||||
|| probabilityEntry.isNotAWord()) {
|
if (wordAttributes.isBlacklisted() || wordAttributes.isNotAWord()) {
|
||||||
return NOT_A_PROBABILITY;
|
return NOT_A_PROBABILITY;
|
||||||
}
|
}
|
||||||
if (mHeaderPolicy->hasHistoricalInfoOfWords()) {
|
return wordAttributes.getProbability();
|
||||||
return ForgettingCurveUtils::decodeProbability(probabilityEntry.getHistoricalInfo(),
|
|
||||||
mHeaderPolicy);
|
|
||||||
} else {
|
|
||||||
return probabilityEntry.getProbability();
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
|
|
||||||
BinaryDictionaryShortcutIterator Ver4PatriciaTriePolicy::getShortcutIterator(
|
BinaryDictionaryShortcutIterator Ver4PatriciaTriePolicy::getShortcutIterator(
|
||||||
|
@ -152,9 +147,7 @@ void Ver4PatriciaTriePolicy::iterateNgramEntries(const WordIdArrayView prevWordI
|
||||||
continue;
|
continue;
|
||||||
}
|
}
|
||||||
const int probability = probabilityEntry.hasHistoricalInfo() ?
|
const int probability = probabilityEntry.hasHistoricalInfo() ?
|
||||||
ForgettingCurveUtils::decodeProbability(
|
0 : probabilityEntry.getProbability();
|
||||||
probabilityEntry.getHistoricalInfo(), mHeaderPolicy) :
|
|
||||||
probabilityEntry.getProbability();
|
|
||||||
listener->onVisitEntry(probability, entry.getWordId());
|
listener->onVisitEntry(probability, entry.getWordId());
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
@ -386,25 +379,35 @@ bool Ver4PatriciaTriePolicy::updateEntriesForWordWithNgramContext(
|
||||||
AKLOGE("Cannot add unigarm entry in updateEntriesForWordWithNgramContext().");
|
AKLOGE("Cannot add unigarm entry in updateEntriesForWordWithNgramContext().");
|
||||||
return false;
|
return false;
|
||||||
}
|
}
|
||||||
|
if (!isValidWord) {
|
||||||
|
return true;
|
||||||
|
}
|
||||||
wordId = getWordId(wordCodePoints, false /* tryLowerCaseSearch */);
|
wordId = getWordId(wordCodePoints, false /* tryLowerCaseSearch */);
|
||||||
}
|
}
|
||||||
|
|
||||||
WordIdArray<MAX_PREV_WORD_COUNT_FOR_N_GRAM> prevWordIdArray;
|
WordIdArray<MAX_PREV_WORD_COUNT_FOR_N_GRAM> prevWordIdArray;
|
||||||
const WordIdArrayView prevWordIds = ngramContext->getPrevWordIds(this, &prevWordIdArray,
|
const WordIdArrayView prevWordIds = ngramContext->getPrevWordIds(this, &prevWordIdArray,
|
||||||
false /* tryLowerCaseSearch */);
|
false /* tryLowerCaseSearch */);
|
||||||
if (prevWordIds.firstOrDefault(NOT_A_WORD_ID) == NOT_A_WORD_ID
|
if (ngramContext->isNthPrevWordBeginningOfSentence(1 /* n */)) {
|
||||||
&& ngramContext->isNthPrevWordBeginningOfSentence(1 /* n */)) {
|
if (prevWordIds.firstOrDefault(NOT_A_WORD_ID) == NOT_A_WORD_ID) {
|
||||||
const UnigramProperty beginningOfSentenceUnigramProperty(
|
const UnigramProperty beginningOfSentenceUnigramProperty(
|
||||||
true /* representsBeginningOfSentence */,
|
true /* representsBeginningOfSentence */,
|
||||||
true /* isNotAWord */, false /* isPossiblyOffensive */, NOT_A_PROBABILITY,
|
true /* isNotAWord */, false /* isPossiblyOffensive */, NOT_A_PROBABILITY,
|
||||||
HistoricalInfo(historicalInfo.getTimestamp(), 0 /* level */, 0 /* count */));
|
HistoricalInfo(historicalInfo.getTimestamp(), 0 /* level */, 0 /* count */));
|
||||||
if (!addUnigramEntry(ngramContext->getNthPrevWordCodePoints(1 /* n */),
|
if (!addUnigramEntry(ngramContext->getNthPrevWordCodePoints(1 /* n */),
|
||||||
&beginningOfSentenceUnigramProperty)) {
|
&beginningOfSentenceUnigramProperty)) {
|
||||||
AKLOGE("Cannot add BoS entry in updateEntriesForWordWithNgramContext().");
|
AKLOGE("Cannot add BoS entry in updateEntriesForWordWithNgramContext().");
|
||||||
|
return false;
|
||||||
|
}
|
||||||
|
// Refresh word ids.
|
||||||
|
ngramContext->getPrevWordIds(this, &prevWordIdArray, false /* tryLowerCaseSearch */);
|
||||||
|
}
|
||||||
|
// Update entries for beginning of sentence.
|
||||||
|
if (!mBuffers->getMutableLanguageModelDictContent()->updateAllEntriesOnInputWord(
|
||||||
|
prevWordIds.skip(1 /* n */), prevWordIds[0], true /* isVaild */, historicalInfo,
|
||||||
|
mHeaderPolicy, &mEntryCounters)) {
|
||||||
return false;
|
return false;
|
||||||
}
|
}
|
||||||
// Refresh word ids.
|
|
||||||
ngramContext->getPrevWordIds(this, &prevWordIdArray, false /* tryLowerCaseSearch */);
|
|
||||||
}
|
}
|
||||||
if (!mBuffers->getMutableLanguageModelDictContent()->updateAllEntriesOnInputWord(prevWordIds,
|
if (!mBuffers->getMutableLanguageModelDictContent()->updateAllEntriesOnInputWord(prevWordIds,
|
||||||
wordId, updateAsAValidWord, historicalInfo, mHeaderPolicy, &mEntryCounters)) {
|
wordId, updateAsAValidWord, historicalInfo, mHeaderPolicy, &mEntryCounters)) {
|
||||||
|
@ -542,7 +545,7 @@ const WordProperty Ver4PatriciaTriePolicy::getWordProperty(
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
const WordAttributes wordAttributes = languageModelDictContent->getWordAttributes(
|
const WordAttributes wordAttributes = languageModelDictContent->getWordAttributes(
|
||||||
WordIdArrayView(), wordId, mHeaderPolicy);
|
WordIdArrayView(), wordId, true /* mustMatchAllPrevWords */, mHeaderPolicy);
|
||||||
const ProbabilityEntry probabilityEntry = languageModelDictContent->getProbabilityEntry(wordId);
|
const ProbabilityEntry probabilityEntry = languageModelDictContent->getProbabilityEntry(wordId);
|
||||||
const HistoricalInfo *const historicalInfo = probabilityEntry.getHistoricalInfo();
|
const HistoricalInfo *const historicalInfo = probabilityEntry.getHistoricalInfo();
|
||||||
const UnigramProperty unigramProperty(probabilityEntry.representsBeginningOfSentence(),
|
const UnigramProperty unigramProperty(probabilityEntry.representsBeginningOfSentence(),
|
||||||
|
|
|
@ -59,6 +59,7 @@ public class BinaryDictionaryDecayingTests extends AndroidTestCase {
|
||||||
super.setUp();
|
super.setUp();
|
||||||
mCurrentTime = 0;
|
mCurrentTime = 0;
|
||||||
mDictFilesToBeDeleted.clear();
|
mDictFilesToBeDeleted.clear();
|
||||||
|
setCurrentTimeForTestMode(mCurrentTime);
|
||||||
}
|
}
|
||||||
|
|
||||||
@Override
|
@Override
|
||||||
|
@ -71,8 +72,8 @@ public class BinaryDictionaryDecayingTests extends AndroidTestCase {
|
||||||
super.tearDown();
|
super.tearDown();
|
||||||
}
|
}
|
||||||
|
|
||||||
private static boolean supportsBeginningOfSentence(final int formatVersion) {
|
private static boolean supportsCountBasedNgram(final int formatVersion) {
|
||||||
return formatVersion > FormatSpec.VERSION401;
|
return formatVersion >= FormatSpec.VERSION4_DEV;
|
||||||
}
|
}
|
||||||
|
|
||||||
private static boolean supportsNgram(final int formatVersion) {
|
private static boolean supportsNgram(final int formatVersion) {
|
||||||
|
@ -142,19 +143,13 @@ public class BinaryDictionaryDecayingTests extends AndroidTestCase {
|
||||||
|
|
||||||
private File createEmptyDictionaryWithAttributeMapAndGetFile(final int formatVersion,
|
private File createEmptyDictionaryWithAttributeMapAndGetFile(final int formatVersion,
|
||||||
final HashMap<String, String> attributeMap) {
|
final HashMap<String, String> attributeMap) {
|
||||||
if (formatVersion == FormatSpec.VERSION4
|
try {
|
||||||
|| formatVersion == FormatSpec.VERSION4_ONLY_FOR_TESTING
|
final File dictFile = createEmptyVer4DictionaryAndGetFile(formatVersion,
|
||||||
|| formatVersion == FormatSpec.VERSION4_DEV) {
|
attributeMap);
|
||||||
try {
|
mDictFilesToBeDeleted.add(dictFile);
|
||||||
final File dictFile = createEmptyVer4DictionaryAndGetFile(formatVersion,
|
return dictFile;
|
||||||
attributeMap);
|
} catch (final IOException e) {
|
||||||
mDictFilesToBeDeleted.add(dictFile);
|
fail(e.toString());
|
||||||
return dictFile;
|
|
||||||
} catch (final IOException e) {
|
|
||||||
fail(e.toString());
|
|
||||||
}
|
|
||||||
} else {
|
|
||||||
fail("Dictionary format version " + formatVersion + " is not supported.");
|
|
||||||
}
|
}
|
||||||
return null;
|
return null;
|
||||||
}
|
}
|
||||||
|
@ -263,12 +258,10 @@ public class BinaryDictionaryDecayingTests extends AndroidTestCase {
|
||||||
onInputWord(binaryDictionary, "a", false /* isValidWord */);
|
onInputWord(binaryDictionary, "a", false /* isValidWord */);
|
||||||
assertTrue(binaryDictionary.isValidWord("a"));
|
assertTrue(binaryDictionary.isValidWord("a"));
|
||||||
|
|
||||||
onInputWord(binaryDictionary, "b", true /* isValidWord */);
|
|
||||||
assertTrue(binaryDictionary.isValidWord("b"));
|
|
||||||
|
|
||||||
onInputWordWithPrevWord(binaryDictionary, "b", false /* isValidWord */, "a");
|
onInputWordWithPrevWord(binaryDictionary, "b", false /* isValidWord */, "a");
|
||||||
assertFalse(isValidBigram(binaryDictionary, "a", "b"));
|
assertFalse(isValidBigram(binaryDictionary, "a", "b"));
|
||||||
onInputWordWithPrevWord(binaryDictionary, "b", false /* isValidWord */, "a");
|
onInputWordWithPrevWord(binaryDictionary, "b", false /* isValidWord */, "a");
|
||||||
|
assertTrue(binaryDictionary.isValidWord("b"));
|
||||||
assertTrue(isValidBigram(binaryDictionary, "a", "b"));
|
assertTrue(isValidBigram(binaryDictionary, "a", "b"));
|
||||||
|
|
||||||
onInputWordWithPrevWord(binaryDictionary, "c", true /* isValidWord */, "a");
|
onInputWordWithPrevWord(binaryDictionary, "c", true /* isValidWord */, "a");
|
||||||
|
@ -284,16 +277,12 @@ public class BinaryDictionaryDecayingTests extends AndroidTestCase {
|
||||||
return;
|
return;
|
||||||
}
|
}
|
||||||
|
|
||||||
onInputWordWithPrevWords(binaryDictionary, "c", false /* isValidWord */, "b", "a");
|
onInputWordWithPrevWords(binaryDictionary, "c", true /* isValidWord */, "b", "a");
|
||||||
assertFalse(isValidTrigram(binaryDictionary, "a", "b", "c"));
|
|
||||||
assertFalse(isValidBigram(binaryDictionary, "b", "c"));
|
|
||||||
onInputWordWithPrevWords(binaryDictionary, "c", false /* isValidWord */, "b", "a");
|
|
||||||
assertTrue(isValidTrigram(binaryDictionary, "a", "b", "c"));
|
assertTrue(isValidTrigram(binaryDictionary, "a", "b", "c"));
|
||||||
assertTrue(isValidBigram(binaryDictionary, "b", "c"));
|
assertTrue(isValidBigram(binaryDictionary, "b", "c"));
|
||||||
|
onInputWordWithPrevWords(binaryDictionary, "d", false /* isValidWord */, "c", "b");
|
||||||
onInputWordWithPrevWords(binaryDictionary, "d", true /* isValidWord */, "b", "a");
|
assertFalse(isValidTrigram(binaryDictionary, "b", "c", "d"));
|
||||||
assertTrue(isValidTrigram(binaryDictionary, "a", "b", "d"));
|
assertFalse(isValidBigram(binaryDictionary, "c", "d"));
|
||||||
assertTrue(isValidBigram(binaryDictionary, "b", "d"));
|
|
||||||
|
|
||||||
onInputWordWithPrevWords(binaryDictionary, "cd", true /* isValidWord */, "b", "a");
|
onInputWordWithPrevWords(binaryDictionary, "cd", true /* isValidWord */, "b", "a");
|
||||||
assertTrue(isValidTrigram(binaryDictionary, "a", "b", "cd"));
|
assertTrue(isValidTrigram(binaryDictionary, "a", "b", "cd"));
|
||||||
|
@ -312,6 +301,13 @@ public class BinaryDictionaryDecayingTests extends AndroidTestCase {
|
||||||
onInputWord(binaryDictionary, "a", true /* isValidWord */);
|
onInputWord(binaryDictionary, "a", true /* isValidWord */);
|
||||||
assertTrue(binaryDictionary.isValidWord("a"));
|
assertTrue(binaryDictionary.isValidWord("a"));
|
||||||
forcePassingShortTime(binaryDictionary);
|
forcePassingShortTime(binaryDictionary);
|
||||||
|
if (supportsCountBasedNgram(formatVersion)) {
|
||||||
|
// Count based ngram language model doesn't support decaying based on the elapsed time.
|
||||||
|
assertTrue(binaryDictionary.isValidWord("a"));
|
||||||
|
} else {
|
||||||
|
assertFalse(binaryDictionary.isValidWord("a"));
|
||||||
|
}
|
||||||
|
forcePassingLongTime(binaryDictionary);
|
||||||
assertFalse(binaryDictionary.isValidWord("a"));
|
assertFalse(binaryDictionary.isValidWord("a"));
|
||||||
|
|
||||||
onInputWord(binaryDictionary, "a", true /* isValidWord */);
|
onInputWord(binaryDictionary, "a", true /* isValidWord */);
|
||||||
|
@ -327,6 +323,12 @@ public class BinaryDictionaryDecayingTests extends AndroidTestCase {
|
||||||
onInputWordWithPrevWord(binaryDictionary, "b", true /* isValidWord */, "a");
|
onInputWordWithPrevWord(binaryDictionary, "b", true /* isValidWord */, "a");
|
||||||
assertTrue(isValidBigram(binaryDictionary, "a", "b"));
|
assertTrue(isValidBigram(binaryDictionary, "a", "b"));
|
||||||
forcePassingShortTime(binaryDictionary);
|
forcePassingShortTime(binaryDictionary);
|
||||||
|
if (supportsCountBasedNgram(formatVersion)) {
|
||||||
|
assertTrue(isValidBigram(binaryDictionary, "a", "b"));
|
||||||
|
} else {
|
||||||
|
assertFalse(isValidBigram(binaryDictionary, "a", "b"));
|
||||||
|
}
|
||||||
|
forcePassingLongTime(binaryDictionary);
|
||||||
assertFalse(isValidBigram(binaryDictionary, "a", "b"));
|
assertFalse(isValidBigram(binaryDictionary, "a", "b"));
|
||||||
|
|
||||||
onInputWord(binaryDictionary, "a", true /* isValidWord */);
|
onInputWord(binaryDictionary, "a", true /* isValidWord */);
|
||||||
|
@ -349,7 +351,7 @@ public class BinaryDictionaryDecayingTests extends AndroidTestCase {
|
||||||
onInputWordWithPrevWord(binaryDictionary, "bc", true /* isValidWord */, "ab");
|
onInputWordWithPrevWord(binaryDictionary, "bc", true /* isValidWord */, "ab");
|
||||||
onInputWordWithPrevWords(binaryDictionary, "cd", true /* isValidWord */, "bc", "ab");
|
onInputWordWithPrevWords(binaryDictionary, "cd", true /* isValidWord */, "bc", "ab");
|
||||||
assertTrue(isValidTrigram(binaryDictionary, "ab", "bc", "cd"));
|
assertTrue(isValidTrigram(binaryDictionary, "ab", "bc", "cd"));
|
||||||
forcePassingShortTime(binaryDictionary);
|
forcePassingLongTime(binaryDictionary);
|
||||||
assertFalse(isValidTrigram(binaryDictionary, "ab", "bc", "cd"));
|
assertFalse(isValidTrigram(binaryDictionary, "ab", "bc", "cd"));
|
||||||
|
|
||||||
onInputWord(binaryDictionary, "ab", true /* isValidWord */);
|
onInputWord(binaryDictionary, "ab", true /* isValidWord */);
|
||||||
|
@ -540,7 +542,7 @@ public class BinaryDictionaryDecayingTests extends AndroidTestCase {
|
||||||
assertTrue(bigramCountBeforeGC > bigramCountAfterGC);
|
assertTrue(bigramCountBeforeGC > bigramCountAfterGC);
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
forcePassingShortTime(binaryDictionary);
|
||||||
assertTrue(Integer.parseInt(binaryDictionary.getPropertyForGettingStats(
|
assertTrue(Integer.parseInt(binaryDictionary.getPropertyForGettingStats(
|
||||||
BinaryDictionary.BIGRAM_COUNT_QUERY)) > 0);
|
BinaryDictionary.BIGRAM_COUNT_QUERY)) > 0);
|
||||||
assertTrue(Integer.parseInt(binaryDictionary.getPropertyForGettingStats(
|
assertTrue(Integer.parseInt(binaryDictionary.getPropertyForGettingStats(
|
||||||
|
@ -666,14 +668,17 @@ public class BinaryDictionaryDecayingTests extends AndroidTestCase {
|
||||||
assertEquals(toFormatVersion, binaryDictionary.getFormatVersion());
|
assertEquals(toFormatVersion, binaryDictionary.getFormatVersion());
|
||||||
assertTrue(binaryDictionary.isValidWord("aaa"));
|
assertTrue(binaryDictionary.isValidWord("aaa"));
|
||||||
assertFalse(binaryDictionary.isValidWord("bbb"));
|
assertFalse(binaryDictionary.isValidWord("bbb"));
|
||||||
assertTrue(binaryDictionary.getFrequency("aaa") < binaryDictionary.getFrequency("ccc"));
|
if (supportsCountBasedNgram(toFormatVersion)) {
|
||||||
onInputWord(binaryDictionary, "bbb", false /* isValidWord */);
|
assertTrue(binaryDictionary.getFrequency("aaa") < binaryDictionary.getFrequency("ccc"));
|
||||||
assertTrue(binaryDictionary.isValidWord("bbb"));
|
onInputWord(binaryDictionary, "bbb", false /* isValidWord */);
|
||||||
|
assertTrue(binaryDictionary.isValidWord("bbb"));
|
||||||
|
}
|
||||||
assertTrue(isValidBigram(binaryDictionary, "aaa", "abc"));
|
assertTrue(isValidBigram(binaryDictionary, "aaa", "abc"));
|
||||||
assertFalse(isValidBigram(binaryDictionary, "aaa", "bbb"));
|
assertFalse(isValidBigram(binaryDictionary, "aaa", "bbb"));
|
||||||
onInputWordWithPrevWord(binaryDictionary, "bbb", false /* isValidWord */, "aaa");
|
if (supportsCountBasedNgram(toFormatVersion)) {
|
||||||
assertTrue(isValidBigram(binaryDictionary, "aaa", "bbb"));
|
onInputWordWithPrevWord(binaryDictionary, "bbb", false /* isValidWord */, "aaa");
|
||||||
|
assertTrue(isValidBigram(binaryDictionary, "aaa", "bbb"));
|
||||||
|
}
|
||||||
if (supportsNgram(toFormatVersion)) {
|
if (supportsNgram(toFormatVersion)) {
|
||||||
assertTrue(isValidTrigram(binaryDictionary, "aaa", "abc", "xyz"));
|
assertTrue(isValidTrigram(binaryDictionary, "aaa", "abc", "xyz"));
|
||||||
assertFalse(isValidTrigram(binaryDictionary, "aaa", "abc", "def"));
|
assertFalse(isValidTrigram(binaryDictionary, "aaa", "abc", "def"));
|
||||||
|
@ -686,9 +691,7 @@ public class BinaryDictionaryDecayingTests extends AndroidTestCase {
|
||||||
|
|
||||||
public void testBeginningOfSentence() {
|
public void testBeginningOfSentence() {
|
||||||
for (final int formatVersion : DICT_FORMAT_VERSIONS) {
|
for (final int formatVersion : DICT_FORMAT_VERSIONS) {
|
||||||
if (supportsBeginningOfSentence(formatVersion)) {
|
testBeginningOfSentence(formatVersion);
|
||||||
testBeginningOfSentence(formatVersion);
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@ -716,10 +719,8 @@ public class BinaryDictionaryDecayingTests extends AndroidTestCase {
|
||||||
assertFalse(binaryDictionary.isValidNgram(beginningOfSentenceContext, "aaa"));
|
assertFalse(binaryDictionary.isValidNgram(beginningOfSentenceContext, "aaa"));
|
||||||
assertFalse(binaryDictionary.isValidNgram(beginningOfSentenceContext, "bbb"));
|
assertFalse(binaryDictionary.isValidNgram(beginningOfSentenceContext, "bbb"));
|
||||||
onInputWordWithBeginningOfSentenceContext(binaryDictionary, "aaa", true /* isValidWord */);
|
onInputWordWithBeginningOfSentenceContext(binaryDictionary, "aaa", true /* isValidWord */);
|
||||||
assertFalse(binaryDictionary.isValidNgram(beginningOfSentenceContext, "aaa"));
|
|
||||||
onInputWordWithBeginningOfSentenceContext(binaryDictionary, "aaa", true /* isValidWord */);
|
onInputWordWithBeginningOfSentenceContext(binaryDictionary, "aaa", true /* isValidWord */);
|
||||||
onInputWordWithBeginningOfSentenceContext(binaryDictionary, "bbb", true /* isValidWord */);
|
onInputWordWithBeginningOfSentenceContext(binaryDictionary, "bbb", true /* isValidWord */);
|
||||||
assertFalse(binaryDictionary.isValidNgram(beginningOfSentenceContext, "bbb"));
|
|
||||||
onInputWordWithBeginningOfSentenceContext(binaryDictionary, "bbb", true /* isValidWord */);
|
onInputWordWithBeginningOfSentenceContext(binaryDictionary, "bbb", true /* isValidWord */);
|
||||||
assertTrue(binaryDictionary.isValidNgram(beginningOfSentenceContext, "aaa"));
|
assertTrue(binaryDictionary.isValidNgram(beginningOfSentenceContext, "aaa"));
|
||||||
assertTrue(binaryDictionary.isValidNgram(beginningOfSentenceContext, "bbb"));
|
assertTrue(binaryDictionary.isValidNgram(beginningOfSentenceContext, "bbb"));
|
||||||
|
|
Loading…
Reference in New Issue