diff options
Diffstat (limited to 'java/src/com/android/inputmethod/latin/Utils.java')
| -rw-r--r-- | java/src/com/android/inputmethod/latin/Utils.java | 21 |
1 files changed, 15 insertions, 6 deletions
diff --git a/java/src/com/android/inputmethod/latin/Utils.java b/java/src/com/android/inputmethod/latin/Utils.java index 7091d9b56..149c5ca9e 100644 --- a/java/src/com/android/inputmethod/latin/Utils.java +++ b/java/src/com/android/inputmethod/latin/Utils.java @@ -285,13 +285,22 @@ public class Utils { // (the number of matched characters between typed word and suggested word)) // * (individual word's score which defined in the unigram dictionary, // and this score is defined in range [0, 255].) - // * (when before.length() == after.length(), - // mFullWordMultiplier (this is defined 2)) - // So, maximum original score is pow(2, before.length()) * 255 * 2 - // So, we can normalize original score by dividing this value. + // Then, the following processing is applied. + // - If the dictionary word is matched up to the point of the user entry + // (full match up to min(before.length(), after.length()) + // => Then multiply by FULL_MATCHED_WORDS_PROMOTION_RATE (this is defined 1.2) + // - If the word is a true full match except for differences in accents or + // capitalization, then treat it as if the frequency was 255. + // - If before.length() == after.length() + // => multiply by mFullWordMultiplier (this is defined 2)) + // So, maximum original score is pow(2, min(before.length(), after.length())) * 255 * 2 * 1.2 + // For historical reasons we ignore the 1.2 modifier (because the measure for a good + // autocorrection threshold was done at a time when it didn't exist). This doesn't change + // the result. + // So, we can normalize original score by dividing pow(2, min(b.l(),a.l())) * 255 * 2. private static final int MAX_INITIAL_SCORE = 255; private static final int TYPED_LETTER_MULTIPLIER = 2; - private static final int FULL_WORD_MULTIPLYER = 2; + private static final int FULL_WORD_MULTIPLIER = 2; public static double calcNormalizedScore(CharSequence before, CharSequence after, int score) { final int beforeLength = before.length(); final int afterLength = after.length(); @@ -301,7 +310,7 @@ public class Utils { // correction. final double maximumScore = MAX_INITIAL_SCORE * Math.pow(TYPED_LETTER_MULTIPLIER, Math.min(beforeLength, afterLength)) - * FULL_WORD_MULTIPLYER; + * FULL_WORD_MULTIPLIER; // add a weight based on edit distance. // distance <= max(afterLength, beforeLength) == afterLength, // so, 0 <= distance / afterLength <= 1 |