* commit 'c941bc9bd3eb5b564f8b5f63ff07a44097262671': Split a method to reconstruct freq from uni/bi freq
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commit
7a4a1a0c5c
1 changed files with 12 additions and 7 deletions
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@ -67,6 +67,7 @@ class BinaryFormat {
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const int length);
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static int getWordAtAddress(const uint8_t* const root, const int address, const int maxDepth,
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uint16_t* outWord);
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static int computeFrequencyForBigram(const int unigramFreq, const int bigramFreq);
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static int getProbability(const int position, const std::map<int, int> *bigramMap,
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const uint8_t *bigramFilter, const int unigramFreq);
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@ -529,6 +530,16 @@ static inline int backoff(const int unigramFreq) {
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// return unigramFreq > 8 ? unigramFreq - 8 : (0 == unigramFreq ? 0 : 8);
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}
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inline int BinaryFormat::computeFrequencyForBigram(const int unigramFreq, const int bigramFreq) {
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// We divide the range [unigramFreq..255] in 16.5 steps - in other words, we want the
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// unigram frequency to be the median value of the 17th step from the top. A value of
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// 0 for the bigram frequency represents the middle of the 16th step from the top,
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// while a value of 15 represents the middle of the top step.
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// See makedict.BinaryDictInputOutput for details.
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const float stepSize = ((float)MAX_FREQ - unigramFreq) / (1.5f + MAX_BIGRAM_FREQ);
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return (int)(unigramFreq + bigramFreq * stepSize);
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}
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// This returns a probability in log space.
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inline int BinaryFormat::getProbability(const int position, const std::map<int, int> *bigramMap,
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const uint8_t *bigramFilter, const int unigramFreq) {
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@ -537,13 +548,7 @@ inline int BinaryFormat::getProbability(const int position, const std::map<int,
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const std::map<int, int>::const_iterator bigramFreqIt = bigramMap->find(position);
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if (bigramFreqIt != bigramMap->end()) {
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const int bigramFreq = bigramFreqIt->second;
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// We divide the range [unigramFreq..255] in 16.5 steps - in other words, we want the
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// unigram frequency to be the median value of the 17th step from the top. A value of
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// 0 for the bigram frequency represents the middle of the 16th step from the top,
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// while a value of 15 represents the middle of the top step.
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// See makedict.BinaryDictInputOutput for details.
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const float stepSize = ((float)MAX_FREQ - unigramFreq) / (1.5f + MAX_BIGRAM_FREQ);
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return (int)(unigramFreq + bigramFreq * stepSize);
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return computeFrequencyForBigram(unigramFreq, bigramFreq);
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} else {
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return backoff(unigramFreq);
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}
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