1 /* 2 * Copyright (C) 2013, The Android Open Source Project 3 * 4 * Licensed under the Apache License, Version 2.0 (the "License"); 5 * you may not use this file except in compliance with the License. 6 * You may obtain a copy of the License at 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 10 * Unless required by applicable law or agreed to in writing, software 11 * distributed under the License is distributed on an "AS IS" BASIS, 12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 * See the License for the specific language governing permissions and 14 * limitations under the License. 15 */ 16 17 #ifndef LATINIME_PROBABILITY_UTILS_H 18 #define LATINIME_PROBABILITY_UTILS_H 19 20 #include <algorithm> 21 #include <cmath> 22 23 #include "defines.h" 24 25 namespace latinime { 26 27 // TODO: Quit using bigram probability to indicate the delta. 28 class ProbabilityUtils { 29 public: 30 static AK_FORCE_INLINE int backoff(const int unigramProbability) { 31 return unigramProbability; 32 // For some reason, applying the backoff weight gives bad results in tests. To apply the 33 // backoff weight, we divide the probability by 2, which in our storing format means 34 // decreasing the score by 8. 35 // TODO: figure out what's wrong with this. 36 // return unigramProbability > 8 ? 37 // unigramProbability - 8 : (0 == unigramProbability ? 0 : 8); 38 } 39 40 static AK_FORCE_INLINE int computeProbabilityForBigram( 41 const int unigramProbability, const int bigramProbability) { 42 // We divide the range [unigramProbability..255] in 16.5 steps - in other words, we want 43 // the unigram probability to be the median value of the 17th step from the top. A value of 44 // 0 for the bigram probability represents the middle of the 16th step from the top, 45 // while a value of 15 represents the middle of the top step. 46 // See makedict.BinaryDictEncoder#makeBigramFlags for details. 47 const float stepSize = static_cast<float>(MAX_PROBABILITY - unigramProbability) 48 / (1.5f + MAX_BIGRAM_ENCODED_PROBABILITY); 49 return unigramProbability 50 + static_cast<int>(static_cast<float>(bigramProbability + 1) * stepSize); 51 } 52 53 // Encode probability using the same way as we are doing for main dictionaries. 54 static AK_FORCE_INLINE int encodeRawProbability(const float rawProbability) { 55 const float probability = static_cast<float>(MAX_PROBABILITY) 56 + log2f(rawProbability) * PROBABILITY_ENCODING_SCALER; 57 if (probability < 0.0f) { 58 return 0; 59 } 60 return std::min(static_cast<int>(probability + 0.5f), MAX_PROBABILITY); 61 } 62 63 private: 64 DISALLOW_IMPLICIT_CONSTRUCTORS(ProbabilityUtils); 65 66 static const float PROBABILITY_ENCODING_SCALER; 67 }; 68 } 69 #endif /* LATINIME_PROBABILITY_UTILS_H */ 70