Improve multi-word suggestion handling for user history.
Bug: 12902664 Change-Id: I03deed16047f0beaba8932d87c6129ec8061ba9cmain
parent
e3e331aebb
commit
ddacfdeb09
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@ -164,6 +164,8 @@ public final class Constants {
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// How many continuous deletes at which to start deleting at a higher speed.
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public static final int DELETE_ACCELERATE_AT = 20;
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public static final String WORD_SEPARATOR = " ";
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public static boolean isValidCoordinate(final int coordinate) {
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// Detect {@link NOT_A_COORDINATE}, {@link SUGGESTION_STRIP_COORDINATE},
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// and {@link SPELL_CHECKER_COORDINATE}.
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@ -55,7 +55,7 @@ public class DictionaryFacilitatorForSuggest {
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private boolean mIsUserDictEnabled = false;
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private volatile CountDownLatch mLatchForWaitingLoadingMainDictionary = new CountDownLatch(0);
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// To synchronize assigning mDictionaries to ensure closing dictionaries.
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private Object mLock = new Object();
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private final Object mLock = new Object();
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private static final String[] DICT_TYPES_ORDERED_TO_GET_SUGGESTION =
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new String[] {
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@ -368,30 +368,42 @@ public class DictionaryFacilitatorForSuggest {
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public void addToUserHistory(final String suggestion, final boolean wasAutoCapitalized,
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final String previousWord, final int timeStampInSeconds) {
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final Dictionaries dictionaries = mDictionaries;
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final String[] words = suggestion.split(Constants.WORD_SEPARATOR);
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for (int i = 0; i < words.length; i++) {
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final String currentWord = words[i];
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final String prevWord = (i == 0) ? previousWord : words[i - 1];
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final boolean wasCurrentWordAutoCapitalized = (i == 0) ? wasAutoCapitalized : false;
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addWordToUserHistory(dictionaries, prevWord, currentWord,
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wasCurrentWordAutoCapitalized, timeStampInSeconds);
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}
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}
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private void addWordToUserHistory(final Dictionaries dictionaries, final String prevWord,
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final String word, final boolean wasAutoCapitalized, final int timeStampInSeconds) {
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final ExpandableBinaryDictionary userHistoryDictionary =
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dictionaries.getSubDict(Dictionary.TYPE_USER_HISTORY);
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if (userHistoryDictionary == null) {
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return;
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}
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final int maxFreq = getMaxFrequency(suggestion);
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final int maxFreq = getMaxFrequency(word);
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if (maxFreq == 0) {
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return;
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}
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final String suggestionLowerCase = suggestion.toLowerCase(dictionaries.mLocale);
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final String lowerCasedWord = word.toLowerCase(dictionaries.mLocale);
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final String secondWord;
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if (wasAutoCapitalized) {
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if (isValidWord(suggestion, false /* ignoreCase */)
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&& !isValidWord(suggestionLowerCase, false /* ignoreCase */)) {
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if (isValidWord(word, false /* ignoreCase */)
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&& !isValidWord(lowerCasedWord, false /* ignoreCase */)) {
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// If the word was auto-capitalized and exists only as a capitalized word in the
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// dictionary, then we must not downcase it before registering it. For example,
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// the name of the contacts in start-of-sentence position would come here with the
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// wasAutoCapitalized flag: if we downcase it, we'd register a lower-case version
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// of that contact's name which would end up popping in suggestions.
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secondWord = suggestion;
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secondWord = word;
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} else {
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// If however the word is not in the dictionary, or exists as a lower-case word
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// only, then we consider that was a lower-case word that had been auto-capitalized.
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secondWord = suggestionLowerCase;
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secondWord = lowerCasedWord;
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}
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} else {
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// HACK: We'd like to avoid adding the capitalized form of common words to the User
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@ -399,20 +411,20 @@ public class DictionaryFacilitatorForSuggest {
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// consolidation is done.
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// TODO: Remove this hack when ready.
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final int lowerCaseFreqInMainDict = dictionaries.hasDict(Dictionary.TYPE_MAIN) ?
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dictionaries.getDict(Dictionary.TYPE_MAIN).getFrequency(suggestionLowerCase) :
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dictionaries.getDict(Dictionary.TYPE_MAIN).getFrequency(lowerCasedWord) :
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Dictionary.NOT_A_PROBABILITY;
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if (maxFreq < lowerCaseFreqInMainDict
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&& lowerCaseFreqInMainDict >= CAPITALIZED_FORM_MAX_PROBABILITY_FOR_INSERT) {
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// Use lower cased word as the word can be a distracter of the popular word.
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secondWord = suggestionLowerCase;
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secondWord = lowerCasedWord;
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} else {
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secondWord = suggestion;
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secondWord = word;
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}
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}
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// We demote unrecognized words (frequency < 0, below) by specifying them as "invalid".
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// We don't add words with 0-frequency (assuming they would be profanity etc.).
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final boolean isValid = maxFreq > 0;
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UserHistoryDictionary.addToDictionary(userHistoryDictionary, previousWord, secondWord,
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UserHistoryDictionary.addToDictionary(userHistoryDictionary, prevWord, secondWord,
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isValid, timeStampInSeconds);
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}
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@ -588,7 +588,7 @@ public final class InputLogic {
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if (null != candidate
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&& mSuggestedWords.mSequenceNumber >= mAutoCommitSequenceNumber) {
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if (candidate.mSourceDict.shouldAutoCommit(candidate)) {
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final String[] commitParts = candidate.mWord.split(" ", 2);
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final String[] commitParts = candidate.mWord.split(Constants.WORD_SEPARATOR, 2);
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batchPointers.shift(candidate.mIndexOfTouchPointOfSecondWord);
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promotePhantomSpace(settingsValues);
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mConnection.commitText(commitParts[0], 0);
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@ -1946,10 +1946,11 @@ public final class InputLogic {
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final CharSequence chosenWordWithSuggestions =
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SuggestionSpanUtils.getTextWithSuggestionSpan(mLatinIME, chosenWord,
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suggestedWords);
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mConnection.commitText(chosenWordWithSuggestions, 1);
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// TODO: we pass 2 here, but would it be better to move this above and pass 1 instead?
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// Use the 2nd previous word as the previous word because the 1st previous word is the word
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// to be committed.
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final String prevWord = mConnection.getNthPreviousWord(
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settingsValues.mSpacingAndPunctuations, 2);
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mConnection.commitText(chosenWordWithSuggestions, 1);
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// Add the word to the user history dictionary
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performAdditionToUserHistoryDictionary(settingsValues, chosenWord, prevWord);
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// TODO: figure out here if this is an auto-correct or if the best word is actually
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