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 #include "utils/autocorrection_threshold_utils.h"
18
19 #include <algorithm>
20 #include <cmath>
21
22 #include "defines.h"
23 #include "suggest/policyimpl/utils/edit_distance.h"
24 #include "suggest/policyimpl/utils/damerau_levenshtein_edit_distance_policy.h"
25
26 namespace latinime {
27
28 const int AutocorrectionThresholdUtils::MAX_INITIAL_SCORE = 255;
29 const int AutocorrectionThresholdUtils::TYPED_LETTER_MULTIPLIER = 2;
30 const int AutocorrectionThresholdUtils::FULL_WORD_MULTIPLIER = 2;
31
editDistance(const int * before,const int beforeLength,const int * after,const int afterLength)32 /* static */ int AutocorrectionThresholdUtils::editDistance(const int *before,
33 const int beforeLength, const int *after, const int afterLength) {
34 const DamerauLevenshteinEditDistancePolicy daemaruLevenshtein(
35 before, beforeLength, after, afterLength);
36 return static_cast<int>(EditDistance::getEditDistance(&daemaruLevenshtein));
37 }
38
39 // In dictionary.cpp, getSuggestion() method,
40 // When USE_SUGGEST_INTERFACE_FOR_TYPING is true:
41 //
42 // // TODO: Revise the following logic thoroughly by referring to the logic
43 // // marked as "Otherwise" below.
44 // SUGGEST_INTERFACE_OUTPUT_SCALE was multiplied to the original suggestion scores to convert
45 // them to integers.
46 // score = (int)((original score) * SUGGEST_INTERFACE_OUTPUT_SCALE)
47 // Undo the scaling here to recover the original score.
48 // normalizedScore = ((float)score) / SUGGEST_INTERFACE_OUTPUT_SCALE
49 //
50 // Otherwise: suggestion scores are computed using the below formula.
51 // original score
52 // := powf(mTypedLetterMultiplier (this is defined 2),
53 // (the number of matched characters between typed word and suggested word))
54 // * (individual word's score which defined in the unigram dictionary,
55 // and this score is defined in range [0, 255].)
56 // Then, the following processing is applied.
57 // - If the dictionary word is matched up to the point of the user entry
58 // (full match up to min(before.length(), after.length())
59 // => Then multiply by FULL_MATCHED_WORDS_PROMOTION_RATE (this is defined 1.2)
60 // - If the word is a true full match except for differences in accents or
61 // capitalization, then treat it as if the score was 255.
62 // - If before.length() == after.length()
63 // => multiply by mFullWordMultiplier (this is defined 2))
64 // So, maximum original score is powf(2, min(before.length(), after.length())) * 255 * 2 * 1.2
65 // For historical reasons we ignore the 1.2 modifier (because the measure for a good
66 // autocorrection threshold was done at a time when it didn't exist). This doesn't change
67 // the result.
68 // So, we can normalize original score by dividing powf(2, min(b.l(),a.l())) * 255 * 2.
69
calcNormalizedScore(const int * before,const int beforeLength,const int * after,const int afterLength,const int score)70 /* static */ float AutocorrectionThresholdUtils::calcNormalizedScore(const int *before,
71 const int beforeLength, const int *after, const int afterLength, const int score) {
72 if (0 == beforeLength || 0 == afterLength) {
73 return 0.0f;
74 }
75 const int distance = editDistance(before, beforeLength, after, afterLength);
76 int spaceCount = 0;
77 for (int i = 0; i < afterLength; ++i) {
78 if (after[i] == KEYCODE_SPACE) {
79 ++spaceCount;
80 }
81 }
82
83 if (spaceCount == afterLength) {
84 return 0.0f;
85 }
86
87 if (score <= 0 || distance >= afterLength) {
88 // normalizedScore must be 0.0f (the minimum value) if the score is less than or equal to 0,
89 // or if the edit distance is larger than or equal to afterLength.
90 return 0.0f;
91 }
92 // add a weight based on edit distance.
93 const float weight = 1.0f - static_cast<float>(distance) / static_cast<float>(afterLength);
94
95 // TODO: Revise the following logic thoroughly by referring to...
96 if (true /* USE_SUGGEST_INTERFACE_FOR_TYPING */) {
97 return (static_cast<float>(score) / SUGGEST_INTERFACE_OUTPUT_SCALE) * weight;
98 }
99 // ...this logic.
100 const float maxScore = score >= S_INT_MAX ? static_cast<float>(S_INT_MAX)
101 : static_cast<float>(MAX_INITIAL_SCORE)
102 * powf(static_cast<float>(TYPED_LETTER_MULTIPLIER),
103 static_cast<float>(std::min(beforeLength, afterLength - spaceCount)))
104 * static_cast<float>(FULL_WORD_MULTIPLIER);
105
106 return (static_cast<float>(score) / maxScore) * weight;
107 }
108
109 } // namespace latinime
110