n/futokb
1
0
Fork 0
mirror of https://gitlab.futo.org/keyboard/latinime.git synced 2024-09-28 14:54:30 +01:00
Code Issues Actions Packages Projects Releases Wiki Activity

Merge "Support decaying dict in getWordProbability()."

Browse Source
This commit is contained in:
Keisuke Kuroyanagi 2014-09-16 11:57:44 +00:00 committed by Android (Google) Code Review
commit 627b0107ea
4 changed files with 18 additions and 13 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

15
native/jni/src/suggest/policyimpl/dictionary/structure/v4/content/language_model_dict_content.cpp
View File

@ -39,7 +39,7 @@ bool LanguageModelDictContent::runGC(
}
int LanguageModelDictContent::getWordProbability(const WordIdArrayView prevWordIds,
const int wordId) const {
const int wordId, const HeaderPolicy *const headerPolicy) const {
int bitmapEntryIndices[MAX_PREV_WORD_COUNT_FOR_N_GRAM + 1];
bitmapEntryIndices[0] = mTrieMap.getRootBitmapEntryIndex();
int maxLevel = 0;
@ -58,14 +58,15 @@ int LanguageModelDictContent::getWordProbability(const WordIdArrayView prevWordI
if (!result.mIsValid) {
continue;
}
const int probability =
ProbabilityEntry::decode(result.mValue, mHasHistoricalInfo).getProbability();
const ProbabilityEntry probabilityEntry =
ProbabilityEntry::decode(result.mValue, mHasHistoricalInfo);
if (mHasHistoricalInfo) {
return std::min(
probability + ForgettingCurveUtils::getProbabilityBiasForNgram(i + 1 /* n */),
MAX_PROBABILITY);
const int probability = ForgettingCurveUtils::decodeProbability(
probabilityEntry.getHistoricalInfo(), headerPolicy)
+ ForgettingCurveUtils::getProbabilityBiasForNgram(i + 1 /* n */);
return std::min(probability, MAX_PROBABILITY);
} else {
return probability;
return probabilityEntry.getProbability();
}
}
// Cannot find the word.

3
native/jni/src/suggest/policyimpl/dictionary/structure/v4/content/language_model_dict_content.h
View File

@ -128,7 +128,8 @@ class LanguageModelDictContent {
const LanguageModelDictContent *const originalContent,
int *const outNgramCount);
int getWordProbability(const WordIdArrayView prevWordIds, const int wordId) const;
int getWordProbability(const WordIdArrayView prevWordIds, const int wordId,
const HeaderPolicy *const headerPolicy) const;
ProbabilityEntry getProbabilityEntry(const int wordId) const {
return getNgramProbabilityEntry(WordIdArrayView(), wordId);

7
native/jni/src/suggest/policyimpl/dictionary/structure/v4/ver4_patricia_trie_policy.cpp
View File

@ -121,9 +121,10 @@ const WordAttributes Ver4PatriciaTriePolicy::getWordAttributesInContext(
mBuffers->getTerminalPositionLookupTable()->getTerminalPtNodePosition(wordId);
const PtNodeParams ptNodeParams = mNodeReader.fetchPtNodeParamsInBufferFromPtNodePos(ptNodePos);
// TODO: Support n-gram.
return WordAttributes(mBuffers->getLanguageModelDictContent()->getWordProbability(
prevWordIds.limit(1 /* maxSize */), wordId), ptNodeParams.isBlacklisted(),
ptNodeParams.isNotAWord(), ptNodeParams.getProbability() == 0);
const int probability = mBuffers->getLanguageModelDictContent()->getWordProbability(
prevWordIds.limit(1 /* maxSize */), wordId, mHeaderPolicy);
return WordAttributes(probability, ptNodeParams.isBlacklisted(), ptNodeParams.isNotAWord(),
probability == 0);
}
int Ver4PatriciaTriePolicy::getProbabilityOfWord(const WordIdArrayView prevWordIds,

6
native/jni/tests/suggest/policyimpl/dictionary/structure/v4/content/language_model_dict_content_test.cpp
View File

@ -107,13 +107,15 @@ TEST(LanguageModelDictContentTest, TestGetWordProbability) {
languageModelDictContent.setProbabilityEntry(prevWordIds[0], &probabilityEntry);
languageModelDictContent.setNgramProbabilityEntry(prevWordIds.limit(1), wordId,
&bigramProbabilityEntry);
EXPECT_EQ(bigramProbability, languageModelDictContent.getWordProbability(prevWordIds, wordId));
EXPECT_EQ(bigramProbability, languageModelDictContent.getWordProbability(prevWordIds, wordId,
nullptr /* headerPolicy */));
const ProbabilityEntry trigramProbabilityEntry(flag, trigramProbability);
languageModelDictContent.setNgramProbabilityEntry(prevWordIds.limit(1),
prevWordIds[1], &probabilityEntry);
languageModelDictContent.setNgramProbabilityEntry(prevWordIds.limit(2), wordId,
&trigramProbabilityEntry);
EXPECT_EQ(trigramProbability, languageModelDictContent.getWordProbability(prevWordIds, wordId));
EXPECT_EQ(trigramProbability, languageModelDictContent.getWordProbability(prevWordIds, wordId,
nullptr /* headerPolicy */));
}
} // namespace