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am 84070cbc: Merge "Improve multi-word suggestion handling for user history." 

* commit '84070cbc74cb75a86cf5b995fe50ce53790b17d3':
  Improve multi-word suggestion handling for user history.
main
Keisuke Kuroyanagi 2014-05-12 11:14:02 +00:00 committed by Android Git Automerger
parent 2b46f8c5a8 84070cbc74
commit ac408a825d
3 changed files with 29 additions and 14 deletions
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2
java/src/com/android/inputmethod/latin/Constants.java
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@ -169,6 +169,8 @@ public final class Constants {
// How many continuous deletes at which to start deleting at a higher speed.
public static final int DELETE_ACCELERATE_AT = 20;
public static final String WORD_SEPARATOR = " ";
public static boolean isValidCoordinate(final int coordinate) {
// Detect {@link NOT_A_COORDINATE}, {@link SUGGESTION_STRIP_COORDINATE},
// and {@link SPELL_CHECKER_COORDINATE}.

34
java/src/com/android/inputmethod/latin/DictionaryFacilitatorForSuggest.java
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@ -56,7 +56,7 @@ public class DictionaryFacilitatorForSuggest {
private boolean mIsUserDictEnabled = false;
private volatile CountDownLatch mLatchForWaitingLoadingMainDictionary = new CountDownLatch(0);
// To synchronize assigning mDictionaries to ensure closing dictionaries.
private Object mLock = new Object();
private final Object mLock = new Object();
private static final String[] DICT_TYPES_ORDERED_TO_GET_SUGGESTION =
new String[] {
@ -372,30 +372,42 @@ public class DictionaryFacilitatorForSuggest {
public void addToUserHistory(final String suggestion, final boolean wasAutoCapitalized,
final String previousWord, final int timeStampInSeconds) {
final Dictionaries dictionaries = mDictionaries;
final String[] words = suggestion.split(Constants.WORD_SEPARATOR);
for (int i = 0; i < words.length; i++) {
final String currentWord = words[i];
final String prevWord = (i == 0) ? previousWord : words[i - 1];
final boolean wasCurrentWordAutoCapitalized = (i == 0) ? wasAutoCapitalized : false;
addWordToUserHistory(dictionaries, prevWord, currentWord,
wasCurrentWordAutoCapitalized, timeStampInSeconds);
}
}
private void addWordToUserHistory(final Dictionaries dictionaries, final String prevWord,
final String word, final boolean wasAutoCapitalized, final int timeStampInSeconds) {
final ExpandableBinaryDictionary userHistoryDictionary =
dictionaries.getSubDict(Dictionary.TYPE_USER_HISTORY);
if (userHistoryDictionary == null) {
return;
}
final int maxFreq = getMaxFrequency(suggestion);
final int maxFreq = getMaxFrequency(word);
if (maxFreq == 0) {
return;
}
final String suggestionLowerCase = suggestion.toLowerCase(dictionaries.mLocale);
final String lowerCasedWord = word.toLowerCase(dictionaries.mLocale);
final String secondWord;
if (wasAutoCapitalized) {
if (isValidWord(suggestion, false /* ignoreCase */)
&& !isValidWord(suggestionLowerCase, false /* ignoreCase */)) {
if (isValidWord(word, false /* ignoreCase */)
&& !isValidWord(lowerCasedWord, false /* ignoreCase */)) {
// If the word was auto-capitalized and exists only as a capitalized word in the
// dictionary, then we must not downcase it before registering it. For example,
// the name of the contacts in start-of-sentence position would come here with the
// wasAutoCapitalized flag: if we downcase it, we'd register a lower-case version
// of that contact's name which would end up popping in suggestions.
secondWord = suggestion;
secondWord = word;
} else {
// If however the word is not in the dictionary, or exists as a lower-case word
// only, then we consider that was a lower-case word that had been auto-capitalized.
secondWord = suggestionLowerCase;
secondWord = lowerCasedWord;
}
} else {
// HACK: We'd like to avoid adding the capitalized form of common words to the User
@ -403,20 +415,20 @@ public class DictionaryFacilitatorForSuggest {
// consolidation is done.
// TODO: Remove this hack when ready.
final int lowerCaseFreqInMainDict = dictionaries.hasDict(Dictionary.TYPE_MAIN) ?
dictionaries.getDict(Dictionary.TYPE_MAIN).getFrequency(suggestionLowerCase) :
dictionaries.getDict(Dictionary.TYPE_MAIN).getFrequency(lowerCasedWord) :
Dictionary.NOT_A_PROBABILITY;
if (maxFreq < lowerCaseFreqInMainDict
&& lowerCaseFreqInMainDict >= CAPITALIZED_FORM_MAX_PROBABILITY_FOR_INSERT) {
// Use lower cased word as the word can be a distracter of the popular word.
secondWord = suggestionLowerCase;
secondWord = lowerCasedWord;
} else {
secondWord = suggestion;
secondWord = word;
}
}
// We demote unrecognized words (frequency < 0, below) by specifying them as "invalid".
// We don't add words with 0-frequency (assuming they would be profanity etc.).
final boolean isValid = maxFreq > 0;
UserHistoryDictionary.addToDictionary(userHistoryDictionary, previousWord, secondWord,
UserHistoryDictionary.addToDictionary(userHistoryDictionary, prevWord, secondWord,
isValid, timeStampInSeconds);
}

7
java/src/com/android/inputmethod/latin/inputlogic/InputLogic.java
View File

@ -604,7 +604,7 @@ public final class InputLogic {
if (null != candidate
&& mSuggestedWords.mSequenceNumber >= mAutoCommitSequenceNumber) {
if (candidate.mSourceDict.shouldAutoCommit(candidate)) {
final String[] commitParts = candidate.mWord.split(" ", 2);
final String[] commitParts = candidate.mWord.split(Constants.WORD_SEPARATOR, 2);
batchPointers.shift(candidate.mIndexOfTouchPointOfSecondWord);
promotePhantomSpace(settingsValues);
mConnection.commitText(commitParts[0], 0);
@ -1962,10 +1962,11 @@ public final class InputLogic {
final CharSequence chosenWordWithSuggestions =
SuggestionSpanUtils.getTextWithSuggestionSpan(mLatinIME, chosenWord,
suggestedWords);
mConnection.commitText(chosenWordWithSuggestions, 1);
// TODO: we pass 2 here, but would it be better to move this above and pass 1 instead?
// Use the 2nd previous word as the previous word because the 1st previous word is the word
// to be committed.
final String prevWord = mConnection.getNthPreviousWord(
settingsValues.mSpacingAndPunctuations, 2);
mConnection.commitText(chosenWordWithSuggestions, 1);
// Add the word to the user history dictionary
performAdditionToUserHistoryDictionary(settingsValues, chosenWord, prevWord);
// TODO: figure out here if this is an auto-correct or if the best word is actually