am 34047d89
: Quit ignoring language cost of exact matches.
* commit '34047d8905fbd2cbe4c99618aab105556ebee9ed': Quit ignoring language cost of exact matches.
This commit is contained in:
commit
6df2b0ba3b
4 changed files with 10 additions and 32 deletions
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@ -504,6 +504,12 @@ class DicNode {
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if (!right->isUsed()) {
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return false;
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}
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// Promote exact matches to prevent them from being pruned.
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const bool leftExactMatch = isExactMatch();
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const bool rightExactMatch = right->isExactMatch();
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if (leftExactMatch != rightExactMatch) {
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return leftExactMatch;
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}
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const float diff =
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right->getNormalizedCompoundDistance() - getNormalizedCompoundDistance();
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static const float MIN_DIFF = 0.000001f;
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@ -36,7 +36,6 @@ namespace latinime {
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const int Suggest::MIN_LEN_FOR_MULTI_WORD_AUTOCORRECT = 16;
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const int Suggest::MIN_CONTINUOUS_SUGGESTION_INPUT_SIZE = 2;
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const float Suggest::AUTOCORRECT_CLASSIFICATION_THRESHOLD = 0.33f;
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const int Suggest::FINAL_SCORE_PENALTY_FOR_NOT_BEST_EXACT_MATCHED_WORD = 1;
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/**
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* Returns a set of suggestions for the given input touch points. The commitPoint argument indicates
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@ -149,8 +148,6 @@ int Suggest::outputSuggestions(DicTraverseSession *traverseSession, int *frequen
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&doubleLetterTerminalIndex, &doubleLetterLevel);
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int maxScore = S_INT_MIN;
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int bestExactMatchedNodeTerminalIndex = -1;
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int bestExactMatchedNodeOutputWordIndex = -1;
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// Force autocorrection for obvious long multi-word suggestions when the top suggestion is
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// a long multiple words suggestion.
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// TODO: Implement a smarter auto-commit method for handling multi-word suggestions.
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@ -191,7 +188,8 @@ int Suggest::outputSuggestions(DicTraverseSession *traverseSession, int *frequen
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// TODO: Better integration with java side autocorrection logic.
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const int finalScore = SCORING->calculateFinalScore(
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compoundDistance, traverseSession->getInputSize(),
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(forceCommitMultiWords && terminalDicNode->hasMultipleWords())
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terminalDicNode->isExactMatch()
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|| (forceCommitMultiWords && terminalDicNode->hasMultipleWords())
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|| (isValidWord && SCORING->doesAutoCorrectValidWord()));
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maxScore = max(maxScore, finalScore);
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@ -205,25 +203,6 @@ int Suggest::outputSuggestions(DicTraverseSession *traverseSession, int *frequen
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if (isValidWord) {
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outputTypes[outputWordIndex] = Dictionary::KIND_CORRECTION | outputTypeFlags;
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frequencies[outputWordIndex] = finalScore;
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if (isSafeExactMatch) {
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// Demote exact matches that are not the highest probable node among all exact
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// matches.
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const bool isBestTerminal = bestExactMatchedNodeTerminalIndex < 0
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|| terminals[bestExactMatchedNodeTerminalIndex].getProbability()
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< terminalDicNode->getProbability();
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const int outputWordIndexToBeDemoted = isBestTerminal ?
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bestExactMatchedNodeOutputWordIndex : outputWordIndex;
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if (outputWordIndexToBeDemoted >= 0) {
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frequencies[outputWordIndexToBeDemoted] -=
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FINAL_SCORE_PENALTY_FOR_NOT_BEST_EXACT_MATCHED_WORD;
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}
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if (isBestTerminal) {
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// Updates the best exact matched node index.
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bestExactMatchedNodeTerminalIndex = terminalIndex;
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// Updates the best exact matched output word index.
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bestExactMatchedNodeOutputWordIndex = outputWordIndex;
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}
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}
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// Populate the outputChars array with the suggested word.
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const int startIndex = outputWordIndex * MAX_WORD_LENGTH;
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terminalDicNode->outputResult(&outputCodePoints[startIndex]);
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@ -82,8 +82,6 @@ class Suggest : public SuggestInterface {
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// Threshold for autocorrection classifier
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static const float AUTOCORRECT_CLASSIFICATION_THRESHOLD;
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// Final score penalty to exact match words that are not the most probable exact match.
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static const int FINAL_SCORE_PENALTY_FOR_NOT_BEST_EXACT_MATCHED_WORD;
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const Traversal *const TRAVERSAL;
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const Scoring *const SCORING;
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@ -169,12 +169,7 @@ class TypingWeighting : public Weighting {
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float getTerminalLanguageCost(const DicTraverseSession *const traverseSession,
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const DicNode *const dicNode, const float dicNodeLanguageImprobability) const {
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// We promote exact matches here to prevent them from being pruned. The final score of
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// exact match nodes might be demoted later in Suggest::outputSuggestions if there are
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// multiple exact matches.
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const float languageImprobability = (dicNode->isExactMatch()) ?
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0.0f : dicNodeLanguageImprobability;
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return languageImprobability * ScoringParams::DISTANCE_WEIGHT_LANGUAGE;
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return dicNodeLanguageImprobability * ScoringParams::DISTANCE_WEIGHT_LANGUAGE;
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}
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AK_FORCE_INLINE bool needsToNormalizeCompoundDistance() const {
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