Merge "Stop filtering out when perfect freq > top non-perfect freq."
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commit
6a546147eb
3 changed files with 44 additions and 5 deletions
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@ -408,7 +408,7 @@ public class DictionaryFacilitator {
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if (userHistoryDictionary == null) {
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return;
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}
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final int maxFreq = getMaxFrequency(word);
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final int maxFreq = getFrequency(word);
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if (maxFreq == 0 && blockPotentiallyOffensive) {
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return;
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}
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@ -516,7 +516,7 @@ public class DictionaryFacilitator {
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return false;
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}
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private int getMaxFrequency(final String word) {
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public int getFrequency(final String word) {
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if (TextUtils.isEmpty(word)) {
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return Dictionary.NOT_A_PROBABILITY;
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}
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@ -33,6 +33,7 @@ import com.android.inputmethod.keyboard.Keyboard;
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import com.android.inputmethod.keyboard.KeyboardId;
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import com.android.inputmethod.keyboard.KeyboardLayoutSet;
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import com.android.inputmethod.latin.Constants;
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import com.android.inputmethod.latin.Dictionary;
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import com.android.inputmethod.latin.DictionaryFacilitator;
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import com.android.inputmethod.latin.PrevWordsInfo;
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import com.android.inputmethod.latin.SuggestedWords.SuggestedWordInfo;
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@ -98,10 +99,12 @@ public class DistracterFilterUsingSuggestion implements DistracterFilter {
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}
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}
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private static boolean isDistracter(
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private boolean isDistracter(
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final SuggestionResults suggestionResults, final String consideredWord) {
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int perfectMatchProbability = Dictionary.NOT_A_PROBABILITY;
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for (final SuggestedWordInfo suggestedWordInfo : suggestionResults) {
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if (suggestedWordInfo.mWord.equals(consideredWord)) {
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perfectMatchProbability = mDictionaryFacilitator.getFrequency(consideredWord);
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continue;
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}
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// Exact match can include case errors, accent errors, digraph conversions.
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@ -121,6 +124,17 @@ public class DistracterFilterUsingSuggestion implements DistracterFilter {
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Log.d(TAG, "isExactMatchWithIntentionalOmission: "
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+ isExactMatchWithIntentionalOmission);
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}
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if (perfectMatchProbability != Dictionary.NOT_A_PROBABILITY) {
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final int topNonPerfectProbability = mDictionaryFacilitator.getFrequency(
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suggestedWordInfo.mWord);
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if (DEBUG) {
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Log.d(TAG, "perfectMatchProbability: " + perfectMatchProbability);
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Log.d(TAG, "topNonPerfectProbability: " + topNonPerfectProbability);
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}
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if (perfectMatchProbability > topNonPerfectProbability) {
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return false;
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}
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}
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return isExactMatch || isExactMatchWithIntentionalOmission;
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}
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return false;
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@ -57,11 +57,36 @@ public class DistracterFilterTest extends InputTestsBase {
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assertTrue(mDistracterFilter.isDistracterToWordsInDictionaries(
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EMPTY_PREV_WORDS_INFO, typedWord, localeEnUs));
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typedWord = "were";
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// For this test case, we consider "were" is a distracter to "we're".
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typedWord = "youre";
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// For this test case, we consider "youre" is a distracter to "you're".
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assertTrue(mDistracterFilter.isDistracterToWordsInDictionaries(
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EMPTY_PREV_WORDS_INFO, typedWord, localeEnUs));
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typedWord = "Banana";
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// For this test case, we consider "Banana" is a distracter to "banana".
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assertTrue(mDistracterFilter.isDistracterToWordsInDictionaries(
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EMPTY_PREV_WORDS_INFO, typedWord, localeEnUs));
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typedWord = "orange";
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// For this test case, we consider "orange" is not a distracter to any word in dictionaries.
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assertFalse(mDistracterFilter.isDistracterToWordsInDictionaries(
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EMPTY_PREV_WORDS_INFO, typedWord, localeEnUs));
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typedWord = "Orange";
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// For this test case, we consider "Orange" is a distracter to "orange".
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assertTrue(mDistracterFilter.isDistracterToWordsInDictionaries(
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EMPTY_PREV_WORDS_INFO, typedWord, localeEnUs));
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typedWord = "café";
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// For this test case, we consider "café" is a distracter to "cafe".
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assertTrue(mDistracterFilter.isDistracterToWordsInDictionaries(
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EMPTY_PREV_WORDS_INFO, typedWord, localeEnUs));
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typedWord = "cafe";
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// For this test case, we consider "café" is not a distracter to any word in dictionaries.
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assertFalse(mDistracterFilter.isDistracterToWordsInDictionaries(
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EMPTY_PREV_WORDS_INFO, typedWord, localeEnUs));
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typedWord = "ill";
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// For this test case, we consider "ill" is not a distracter to any word in dictionaries.
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assertFalse(mDistracterFilter.isDistracterToWordsInDictionaries(
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