Merge "Use trigrams for personalization dict."
This commit is contained in:
commit
ade5ad1dae
11 changed files with 265 additions and 343 deletions
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@ -32,8 +32,8 @@ import com.android.inputmethod.latin.settings.SettingsValuesForSuggestion;
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import com.android.inputmethod.latin.utils.BinaryDictionaryUtils;
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import com.android.inputmethod.latin.utils.FileUtils;
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import com.android.inputmethod.latin.utils.JniUtils;
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import com.android.inputmethod.latin.utils.LanguageModelParam;
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import com.android.inputmethod.latin.utils.StringUtils;
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import com.android.inputmethod.latin.utils.WordInputEventForPersonalization;
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import java.io.File;
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import java.util.ArrayList;
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@ -205,8 +205,8 @@ public final class BinaryDictionary extends Dictionary {
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private static native boolean updateEntriesForWordWithNgramContextNative(long dict,
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int[][] prevWordCodePointArrays, boolean[] isBeginningOfSentenceArray,
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int[] word, boolean isValidWord, int count, int timestamp);
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private static native int addMultipleDictionaryEntriesNative(long dict,
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LanguageModelParam[] languageModelParams, int startIndex);
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private static native int updateEntriesForInputEventsNative(long dict,
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WordInputEventForPersonalization[] inputEvents, int startIndex);
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private static native String getPropertyNative(long dict, String query);
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private static native boolean isCorruptedNative(long dict);
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private static native boolean migrateNative(long dict, String dictFilePath,
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@ -526,19 +526,19 @@ public final class BinaryDictionary extends Dictionary {
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}
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@UsedForTesting
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public void addMultipleDictionaryEntries(final LanguageModelParam[] languageModelParams) {
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public void updateEntriesForInputEvents(final WordInputEventForPersonalization[] inputEvents) {
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if (!isValidDictionary()) {
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return;
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}
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int processedParamCount = 0;
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while (processedParamCount < languageModelParams.length) {
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int processedEventCount = 0;
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while (processedEventCount < inputEvents.length) {
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if (needsToRunGC(true /* mindsBlockByGC */)) {
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flushWithGC();
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}
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processedParamCount = addMultipleDictionaryEntriesNative(mNativeDict,
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languageModelParams, processedParamCount);
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processedEventCount = updateEntriesForInputEventsNative(mNativeDict, inputEvents,
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processedEventCount);
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mHasUpdated = true;
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if (processedParamCount <= 0) {
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if (processedEventCount <= 0) {
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return;
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}
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}
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@ -24,7 +24,7 @@ import android.view.inputmethod.InputMethodSubtype;
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import com.android.inputmethod.annotations.UsedForTesting;
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import com.android.inputmethod.keyboard.ProximityInfo;
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import com.android.inputmethod.latin.ExpandableBinaryDictionary.AddMultipleDictionaryEntriesCallback;
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import com.android.inputmethod.latin.ExpandableBinaryDictionary.UpdateEntriesForInputEventsCallback;
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import com.android.inputmethod.latin.NgramContext.WordInfo;
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import com.android.inputmethod.latin.SuggestedWords.SuggestedWordInfo;
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import com.android.inputmethod.latin.personalization.ContextualDictionary;
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@ -796,8 +796,8 @@ public class DictionaryFacilitator {
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public void addEntriesToPersonalizationDictionary(
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final PersonalizationDataChunk personalizationDataChunk,
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final SpacingAndPunctuations spacingAndPunctuations,
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final AddMultipleDictionaryEntriesCallback callback) {
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mPersonalizationHelper.addEntriesToPersonalizationDictionariesToUpdate(
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final UpdateEntriesForInputEventsCallback callback) {
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mPersonalizationHelper.updateEntriesOfPersonalizationDictionaries(
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getMostProbableLocale(), personalizationDataChunk, spacingAndPunctuations,
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callback);
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}
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@ -32,7 +32,7 @@ import com.android.inputmethod.latin.utils.CombinedFormatUtils;
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import com.android.inputmethod.latin.utils.DistracterFilter;
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import com.android.inputmethod.latin.utils.ExecutorUtils;
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import com.android.inputmethod.latin.utils.FileUtils;
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import com.android.inputmethod.latin.utils.LanguageModelParam;
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import com.android.inputmethod.latin.utils.WordInputEventForPersonalization;
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import java.io.File;
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import java.util.ArrayList;
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@ -447,16 +447,16 @@ abstract public class ExpandableBinaryDictionary extends Dictionary {
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}, word, distracterFilter);
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}
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public interface AddMultipleDictionaryEntriesCallback {
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public interface UpdateEntriesForInputEventsCallback {
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public void onFinished();
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}
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/**
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* Dynamically add multiple entries to the dictionary.
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* Dynamically update entries according to input events.
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*/
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public void addMultipleDictionaryEntriesDynamically(
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@Nonnull final ArrayList<LanguageModelParam> languageModelParams,
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final AddMultipleDictionaryEntriesCallback callback) {
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public void updateEntriesForInputEvents(
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@Nonnull final ArrayList<WordInputEventForPersonalization> inputEvents,
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final UpdateEntriesForInputEventsCallback callback) {
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reloadDictionaryIfRequired();
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asyncExecuteTaskWithWriteLock(new Runnable() {
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@Override
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@ -466,9 +466,9 @@ abstract public class ExpandableBinaryDictionary extends Dictionary {
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if (binaryDictionary == null) {
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return;
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}
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binaryDictionary.addMultipleDictionaryEntries(
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languageModelParams.toArray(
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new LanguageModelParam[languageModelParams.size()]));
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binaryDictionary.updateEntriesForInputEvents(
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inputEvents.toArray(
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new WordInputEventForPersonalization[inputEvents.size()]));
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} finally {
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if (callback != null) {
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callback.onFinished();
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@ -26,14 +26,14 @@ import java.util.concurrent.atomic.AtomicInteger;
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import android.content.Context;
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import android.view.inputmethod.InputMethodSubtype;
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import com.android.inputmethod.latin.ExpandableBinaryDictionary.AddMultipleDictionaryEntriesCallback;
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import com.android.inputmethod.latin.ExpandableBinaryDictionary.UpdateEntriesForInputEventsCallback;
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import com.android.inputmethod.latin.personalization.PersonalizationDataChunk;
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import com.android.inputmethod.latin.personalization.PersonalizationDictionary;
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import com.android.inputmethod.latin.settings.SpacingAndPunctuations;
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import com.android.inputmethod.latin.utils.DistracterFilter;
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import com.android.inputmethod.latin.utils.DistracterFilterCheckingIsInDictionary;
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import com.android.inputmethod.latin.utils.LanguageModelParam;
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import com.android.inputmethod.latin.utils.SubtypeLocaleUtils;
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import com.android.inputmethod.latin.utils.WordInputEventForPersonalization;
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/**
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* Class for managing and updating personalization dictionaries.
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@ -119,10 +119,10 @@ public class PersonalizationHelperForDictionaryFacilitator {
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return personalizationDict;
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}
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private void addEntriesToPersonalizationDictionariesForLocale(final Locale locale,
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private void updateEntriesOfPersonalizationDictionariesForLocale(final Locale locale,
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final PersonalizationDataChunk personalizationDataChunk,
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final SpacingAndPunctuations spacingAndPunctuations,
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final AddMultipleDictionaryEntriesCallback callback) {
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final UpdateEntriesForInputEventsCallback callback) {
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final ExpandableBinaryDictionary personalizationDict =
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getPersonalizationDictToUpdate(mContext, locale);
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if (personalizationDict == null) {
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@ -131,25 +131,25 @@ public class PersonalizationHelperForDictionaryFacilitator {
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}
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return;
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}
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final ArrayList<LanguageModelParam> languageModelParams =
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LanguageModelParam.createLanguageModelParamsFrom(
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final ArrayList<WordInputEventForPersonalization> inputEvents =
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WordInputEventForPersonalization.createInputEventFrom(
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personalizationDataChunk.mTokens,
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personalizationDataChunk.mTimestampInSeconds, spacingAndPunctuations,
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locale, new DistracterFilterCheckingIsInDictionary(
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mDistracterFilter, personalizationDict));
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if (languageModelParams == null || languageModelParams.isEmpty()) {
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if (inputEvents == null || inputEvents.isEmpty()) {
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if (callback != null) {
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callback.onFinished();
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}
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return;
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}
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personalizationDict.addMultipleDictionaryEntriesDynamically(languageModelParams, callback);
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personalizationDict.updateEntriesForInputEvents(inputEvents, callback);
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}
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public void addEntriesToPersonalizationDictionariesToUpdate(final Locale defaultLocale,
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public void updateEntriesOfPersonalizationDictionaries(final Locale defaultLocale,
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final PersonalizationDataChunk personalizationDataChunk,
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final SpacingAndPunctuations spacingAndPunctuations,
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final AddMultipleDictionaryEntriesCallback callback) {
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final UpdateEntriesForInputEventsCallback callback) {
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final String language = personalizationDataChunk.mDetectedLanguage;
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final HashSet<Locale> locales;
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if (mIsMonolingualUser && PersonalizationDataChunk.LANGUAGE_UNKNOWN.equals(language)
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@ -165,8 +165,8 @@ public class PersonalizationHelperForDictionaryFacilitator {
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return;
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}
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final AtomicInteger remainingTaskCount = new AtomicInteger(locales.size());
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final AddMultipleDictionaryEntriesCallback callbackForLocales =
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new AddMultipleDictionaryEntriesCallback() {
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final UpdateEntriesForInputEventsCallback callbackForLocales =
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new UpdateEntriesForInputEventsCallback() {
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@Override
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public void onFinished() {
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if (remainingTaskCount.decrementAndGet() == 0) {
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@ -178,7 +178,7 @@ public class PersonalizationHelperForDictionaryFacilitator {
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}
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};
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for (final Locale locale : locales) {
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addEntriesToPersonalizationDictionariesForLocale(locale, personalizationDataChunk,
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updateEntriesOfPersonalizationDictionariesForLocale(locale, personalizationDataChunk,
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spacingAndPunctuations, callbackForLocales);
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}
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}
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@ -1,166 +0,0 @@
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/*
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* Copyright (C) 2014 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package com.android.inputmethod.latin.utils;
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import android.util.Log;
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import com.android.inputmethod.annotations.UsedForTesting;
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import com.android.inputmethod.latin.Dictionary;
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import com.android.inputmethod.latin.NgramContext;
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import com.android.inputmethod.latin.settings.SpacingAndPunctuations;
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import com.android.inputmethod.latin.utils.DistracterFilter.HandlingType;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Locale;
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// Note: this class is used as a parameter type of a native method. You should be careful when you
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// rename this class or field name. See BinaryDictionary#addMultipleDictionaryEntriesNative().
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public final class LanguageModelParam {
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private static final String TAG = LanguageModelParam.class.getSimpleName();
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private static final boolean DEBUG = false;
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private static final boolean DEBUG_TOKEN = false;
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// For now, these probability values are being referred to only when we add new entries to
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// decaying dynamic binary dictionaries. When these are referred to, what matters is 0 or
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// non-0. Thus, it's not meaningful to compare 10, 100, and so on.
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// TODO: Revise the logic in ForgettingCurveUtils in native code.
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private static final int UNIGRAM_PROBABILITY_FOR_VALID_WORD = 100;
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private static final int UNIGRAM_PROBABILITY_FOR_OOV_WORD = Dictionary.NOT_A_PROBABILITY;
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private static final int BIGRAM_PROBABILITY_FOR_VALID_WORD = 10;
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private static final int BIGRAM_PROBABILITY_FOR_OOV_WORD = Dictionary.NOT_A_PROBABILITY;
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public final CharSequence mTargetWord;
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public final int[] mWord0;
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public final int[] mWord1;
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// TODO: this needs to be a list of shortcuts
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public final int[] mShortcutTarget;
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public final int mUnigramProbability;
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public final int mBigramProbability;
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public final int mShortcutProbability;
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public final boolean mIsNotAWord;
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public final boolean mIsPossiblyOffensive;
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// Time stamp in seconds.
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public final int mTimestamp;
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// Constructor for unigram. TODO: support shortcuts
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@UsedForTesting
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public LanguageModelParam(final CharSequence word, final int unigramProbability,
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final int timestamp) {
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this(null /* word0 */, word, unigramProbability, Dictionary.NOT_A_PROBABILITY, timestamp);
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}
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// Constructor for unigram and bigram.
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@UsedForTesting
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public LanguageModelParam(final CharSequence word0, final CharSequence word1,
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final int unigramProbability, final int bigramProbability,
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final int timestamp) {
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mTargetWord = word1;
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mWord0 = (word0 == null) ? null : StringUtils.toCodePointArray(word0);
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mWord1 = StringUtils.toCodePointArray(word1);
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mShortcutTarget = null;
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mUnigramProbability = unigramProbability;
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mBigramProbability = bigramProbability;
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mShortcutProbability = Dictionary.NOT_A_PROBABILITY;
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mIsNotAWord = false;
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mIsPossiblyOffensive = false;
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mTimestamp = timestamp;
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}
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// Process a list of words and return a list of {@link LanguageModelParam} objects.
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public static ArrayList<LanguageModelParam> createLanguageModelParamsFrom(
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final List<String> tokens, final int timestamp,
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final SpacingAndPunctuations spacingAndPunctuations, final Locale locale,
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final DistracterFilter distracterFilter) {
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final ArrayList<LanguageModelParam> languageModelParams = new ArrayList<>();
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final int N = tokens.size();
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NgramContext ngramContext = NgramContext.EMPTY_PREV_WORDS_INFO;
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for (int i = 0; i < N; ++i) {
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final String tempWord = tokens.get(i);
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if (StringUtils.isEmptyStringOrWhiteSpaces(tempWord)) {
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// just skip this token
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if (DEBUG_TOKEN) {
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Log.d(TAG, "--- isEmptyStringOrWhiteSpaces: \"" + tempWord + "\"");
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}
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continue;
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}
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if (!DictionaryInfoUtils.looksValidForDictionaryInsertion(
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tempWord, spacingAndPunctuations)) {
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if (DEBUG_TOKEN) {
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Log.d(TAG, "--- not looksValidForDictionaryInsertion: \""
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+ tempWord + "\"");
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}
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// Sentence terminator found. Split.
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ngramContext = NgramContext.EMPTY_PREV_WORDS_INFO;
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continue;
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}
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if (DEBUG_TOKEN) {
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Log.d(TAG, "--- word: \"" + tempWord + "\"");
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}
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final LanguageModelParam languageModelParam =
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detectWhetherVaildWordOrNotAndGetLanguageModelParam(
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ngramContext, tempWord, timestamp, locale, distracterFilter);
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if (languageModelParam == null) {
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continue;
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}
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languageModelParams.add(languageModelParam);
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ngramContext = ngramContext.getNextNgramContext(
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new NgramContext.WordInfo(tempWord));
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}
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return languageModelParams;
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}
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private static LanguageModelParam detectWhetherVaildWordOrNotAndGetLanguageModelParam(
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final NgramContext ngramContext, final String targetWord, final int timestamp,
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final Locale locale, final DistracterFilter distracterFilter) {
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if (locale == null) {
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return null;
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}
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final int wordHandlingType = distracterFilter.getWordHandlingType(ngramContext,
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targetWord, locale);
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final String word = HandlingType.shouldBeLowerCased(wordHandlingType) ?
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targetWord.toLowerCase(locale) : targetWord;
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if (distracterFilter.isDistracterToWordsInDictionaries(ngramContext, targetWord, locale)) {
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// The word is a distracter.
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return null;
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}
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return createAndGetLanguageModelParamOfWord(ngramContext, word, timestamp,
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!HandlingType.shouldBeHandledAsOov(wordHandlingType));
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}
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private static LanguageModelParam createAndGetLanguageModelParamOfWord(
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final NgramContext ngramContext, final String word, final int timestamp,
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final boolean isValidWord) {
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final int unigramProbability = isValidWord ?
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UNIGRAM_PROBABILITY_FOR_VALID_WORD : UNIGRAM_PROBABILITY_FOR_OOV_WORD;
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if (!ngramContext.isValid()) {
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if (DEBUG) {
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Log.d(TAG, "--- add unigram: current("
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+ (isValidWord ? "Valid" : "OOV") + ") = " + word);
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}
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return new LanguageModelParam(word, unigramProbability, timestamp);
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}
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if (DEBUG) {
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Log.d(TAG, "--- add bigram: prev = " + ngramContext + ", current("
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+ (isValidWord ? "Valid" : "OOV") + ") = " + word);
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}
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final int bigramProbability = isValidWord ?
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BIGRAM_PROBABILITY_FOR_VALID_WORD : BIGRAM_PROBABILITY_FOR_OOV_WORD;
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return new LanguageModelParam(ngramContext.getNthPrevWord(1 /* n */), word,
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unigramProbability, bigramProbability, timestamp);
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}
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}
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@ -0,0 +1,117 @@
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/*
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* Copyright (C) 2014 The Android Open Source Project
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*
|
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* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
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package com.android.inputmethod.latin.utils;
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import android.util.Log;
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import com.android.inputmethod.annotations.UsedForTesting;
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import com.android.inputmethod.latin.Constants;
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import com.android.inputmethod.latin.NgramContext;
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import com.android.inputmethod.latin.settings.SpacingAndPunctuations;
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import com.android.inputmethod.latin.utils.DistracterFilter.HandlingType;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Locale;
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||||
// Note: this class is used as a parameter type of a native method. You should be careful when you
|
||||
// rename this class or field name. See BinaryDictionary#addMultipleDictionaryEntriesNative().
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public final class WordInputEventForPersonalization {
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private static final String TAG = WordInputEventForPersonalization.class.getSimpleName();
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private static final boolean DEBUG_TOKEN = false;
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public final int[] mTargetWord;
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public final int mPrevWordsCount;
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public final int[][] mPrevWordArray = new int[Constants.MAX_PREV_WORD_COUNT_FOR_N_GRAM][];
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public final boolean[] mIsPrevWordBeginningOfSentenceArray =
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new boolean[Constants.MAX_PREV_WORD_COUNT_FOR_N_GRAM];
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public final boolean mIsValid;
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// Time stamp in seconds.
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public final int mTimestamp;
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@UsedForTesting
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public WordInputEventForPersonalization(final CharSequence targetWord,
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final NgramContext ngramContext, final boolean isValid, final int timestamp) {
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mTargetWord = StringUtils.toCodePointArray(targetWord);
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mPrevWordsCount = ngramContext.getPrevWordCount();
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ngramContext.outputToArray(mPrevWordArray, mIsPrevWordBeginningOfSentenceArray);
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mIsValid = isValid;
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mTimestamp = timestamp;
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}
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// Process a list of words and return a list of {@link WordInputEventForPersonalization}
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// objects.
|
||||
public static ArrayList<WordInputEventForPersonalization> createInputEventFrom(
|
||||
final List<String> tokens, final int timestamp,
|
||||
final SpacingAndPunctuations spacingAndPunctuations, final Locale locale,
|
||||
final DistracterFilter distracterFilter) {
|
||||
final ArrayList<WordInputEventForPersonalization> inputEvents = new ArrayList<>();
|
||||
final int N = tokens.size();
|
||||
NgramContext ngramContext = NgramContext.EMPTY_PREV_WORDS_INFO;
|
||||
for (int i = 0; i < N; ++i) {
|
||||
final String tempWord = tokens.get(i);
|
||||
if (StringUtils.isEmptyStringOrWhiteSpaces(tempWord)) {
|
||||
// just skip this token
|
||||
if (DEBUG_TOKEN) {
|
||||
Log.d(TAG, "--- isEmptyStringOrWhiteSpaces: \"" + tempWord + "\"");
|
||||
}
|
||||
continue;
|
||||
}
|
||||
if (!DictionaryInfoUtils.looksValidForDictionaryInsertion(
|
||||
tempWord, spacingAndPunctuations)) {
|
||||
if (DEBUG_TOKEN) {
|
||||
Log.d(TAG, "--- not looksValidForDictionaryInsertion: \""
|
||||
+ tempWord + "\"");
|
||||
}
|
||||
// Sentence terminator found. Split.
|
||||
// TODO: Detect whether the context is beginning-of-sentence.
|
||||
ngramContext = NgramContext.EMPTY_PREV_WORDS_INFO;
|
||||
continue;
|
||||
}
|
||||
if (DEBUG_TOKEN) {
|
||||
Log.d(TAG, "--- word: \"" + tempWord + "\"");
|
||||
}
|
||||
final WordInputEventForPersonalization inputEvent =
|
||||
detectWhetherVaildWordOrNotAndGetInputEvent(
|
||||
ngramContext, tempWord, timestamp, locale, distracterFilter);
|
||||
if (inputEvent == null) {
|
||||
continue;
|
||||
}
|
||||
inputEvents.add(inputEvent);
|
||||
ngramContext = ngramContext.getNextNgramContext(new NgramContext.WordInfo(tempWord));
|
||||
}
|
||||
return inputEvents;
|
||||
}
|
||||
|
||||
private static WordInputEventForPersonalization detectWhetherVaildWordOrNotAndGetInputEvent(
|
||||
final NgramContext ngramContext, final String targetWord, final int timestamp,
|
||||
final Locale locale, final DistracterFilter distracterFilter) {
|
||||
if (locale == null) {
|
||||
return null;
|
||||
}
|
||||
final int wordHandlingType = distracterFilter.getWordHandlingType(ngramContext,
|
||||
targetWord, locale);
|
||||
final String word = HandlingType.shouldBeLowerCased(wordHandlingType) ?
|
||||
targetWord.toLowerCase(locale) : targetWord;
|
||||
if (distracterFilter.isDistracterToWordsInDictionaries(ngramContext, targetWord, locale)) {
|
||||
// The word is a distracter.
|
||||
return null;
|
||||
}
|
||||
return new WordInputEventForPersonalization(word, ngramContext,
|
||||
!HandlingType.shouldBeHandledAsOov(wordHandlingType), timestamp);
|
||||
}
|
||||
}
|
|
@ -453,98 +453,60 @@ static bool latinime_BinaryDictionary_updateEntriesForWordWithNgramContext(JNIEn
|
|||
historicalInfo);
|
||||
}
|
||||
|
||||
// Returns how many language model params are processed.
|
||||
static int latinime_BinaryDictionary_addMultipleDictionaryEntries(JNIEnv *env, jclass clazz,
|
||||
jlong dict, jobjectArray languageModelParams, jint startIndex) {
|
||||
// Returns how many input events are processed.
|
||||
static int latinime_BinaryDictionary_updateEntriesForInputEvents(JNIEnv *env, jclass clazz,
|
||||
jlong dict, jobjectArray inputEvents, jint startIndex) {
|
||||
Dictionary *dictionary = reinterpret_cast<Dictionary *>(dict);
|
||||
if (!dictionary) {
|
||||
return 0;
|
||||
}
|
||||
jsize languageModelParamCount = env->GetArrayLength(languageModelParams);
|
||||
if (languageModelParamCount == 0 || startIndex >= languageModelParamCount) {
|
||||
jsize inputEventCount = env->GetArrayLength(inputEvents);
|
||||
if (inputEventCount == 0 || startIndex >= inputEventCount) {
|
||||
return 0;
|
||||
}
|
||||
jobject languageModelParam = env->GetObjectArrayElement(languageModelParams, 0);
|
||||
jclass languageModelParamClass = env->GetObjectClass(languageModelParam);
|
||||
env->DeleteLocalRef(languageModelParam);
|
||||
jobject inputEvent = env->GetObjectArrayElement(inputEvents, 0);
|
||||
jclass wordInputEventClass = env->GetObjectClass(inputEvent);
|
||||
env->DeleteLocalRef(inputEvent);
|
||||
|
||||
jfieldID word0FieldId = env->GetFieldID(languageModelParamClass, "mWord0", "[I");
|
||||
jfieldID word1FieldId = env->GetFieldID(languageModelParamClass, "mWord1", "[I");
|
||||
jfieldID unigramProbabilityFieldId =
|
||||
env->GetFieldID(languageModelParamClass, "mUnigramProbability", "I");
|
||||
jfieldID bigramProbabilityFieldId =
|
||||
env->GetFieldID(languageModelParamClass, "mBigramProbability", "I");
|
||||
jfieldID timestampFieldId =
|
||||
env->GetFieldID(languageModelParamClass, "mTimestamp", "I");
|
||||
jfieldID shortcutTargetFieldId =
|
||||
env->GetFieldID(languageModelParamClass, "mShortcutTarget", "[I");
|
||||
jfieldID shortcutProbabilityFieldId =
|
||||
env->GetFieldID(languageModelParamClass, "mShortcutProbability", "I");
|
||||
jfieldID isNotAWordFieldId =
|
||||
env->GetFieldID(languageModelParamClass, "mIsNotAWord", "Z");
|
||||
jfieldID isPossiblyOffensiveFieldId =
|
||||
env->GetFieldID(languageModelParamClass, "mIsPossiblyOffensive", "Z");
|
||||
env->DeleteLocalRef(languageModelParamClass);
|
||||
jfieldID targetWordFieldId = env->GetFieldID(wordInputEventClass, "mTargetWord", "[I");
|
||||
jfieldID prevWordCountFieldId = env->GetFieldID(wordInputEventClass, "mPrevWordsCount", "I");
|
||||
jfieldID prevWordArrayFieldId = env->GetFieldID(wordInputEventClass, "mPrevWordArray", "[[I");
|
||||
jfieldID isPrevWordBoSArrayFieldId =
|
||||
env->GetFieldID(wordInputEventClass, "mIsPrevWordBeginningOfSentenceArray", "[Z");
|
||||
jfieldID isValidFieldId = env->GetFieldID(wordInputEventClass, "mIsValid", "Z");
|
||||
jfieldID timestampFieldId = env->GetFieldID(wordInputEventClass, "mTimestamp", "I");
|
||||
env->DeleteLocalRef(wordInputEventClass);
|
||||
|
||||
for (int i = startIndex; i < languageModelParamCount; ++i) {
|
||||
jobject languageModelParam = env->GetObjectArrayElement(languageModelParams, i);
|
||||
// languageModelParam is a set of params for word1; thus, word1 cannot be null. On the
|
||||
// other hand, word0 can be null and then it means the set of params doesn't contain bigram
|
||||
// information.
|
||||
jintArray word0 = static_cast<jintArray>(
|
||||
env->GetObjectField(languageModelParam, word0FieldId));
|
||||
jsize word0Length = word0 ? env->GetArrayLength(word0) : 0;
|
||||
int word0CodePoints[word0Length];
|
||||
if (word0) {
|
||||
env->GetIntArrayRegion(word0, 0, word0Length, word0CodePoints);
|
||||
}
|
||||
jintArray word1 = static_cast<jintArray>(
|
||||
env->GetObjectField(languageModelParam, word1FieldId));
|
||||
jsize word1Length = env->GetArrayLength(word1);
|
||||
int word1CodePoints[word1Length];
|
||||
env->GetIntArrayRegion(word1, 0, word1Length, word1CodePoints);
|
||||
jint unigramProbability = env->GetIntField(languageModelParam, unigramProbabilityFieldId);
|
||||
jint timestamp = env->GetIntField(languageModelParam, timestampFieldId);
|
||||
jboolean isNotAWord = env->GetBooleanField(languageModelParam, isNotAWordFieldId);
|
||||
jboolean isPossiblyOffensive = env->GetBooleanField(languageModelParam,
|
||||
isPossiblyOffensiveFieldId);
|
||||
jintArray shortcutTarget = static_cast<jintArray>(
|
||||
env->GetObjectField(languageModelParam, shortcutTargetFieldId));
|
||||
std::vector<UnigramProperty::ShortcutProperty> shortcuts;
|
||||
{
|
||||
std::vector<int> shortcutTargetCodePoints;
|
||||
JniDataUtils::jintarrayToVector(env, shortcutTarget, &shortcutTargetCodePoints);
|
||||
if (!shortcutTargetCodePoints.empty()) {
|
||||
jint shortcutProbability =
|
||||
env->GetIntField(languageModelParam, shortcutProbabilityFieldId);
|
||||
shortcuts.emplace_back(std::move(shortcutTargetCodePoints), shortcutProbability);
|
||||
}
|
||||
}
|
||||
for (int i = startIndex; i < inputEventCount; ++i) {
|
||||
jobject inputEvent = env->GetObjectArrayElement(inputEvents, i);
|
||||
jintArray targetWord = static_cast<jintArray>(
|
||||
env->GetObjectField(inputEvent, targetWordFieldId));
|
||||
jsize wordLength = env->GetArrayLength(targetWord);
|
||||
int wordCodePoints[wordLength];
|
||||
env->GetIntArrayRegion(targetWord, 0, wordLength, wordCodePoints);
|
||||
env->DeleteLocalRef(targetWord);
|
||||
|
||||
jint prevWordCount = env->GetIntField(inputEvent, prevWordCountFieldId);
|
||||
jobjectArray prevWordArray =
|
||||
static_cast<jobjectArray>(env->GetObjectField(inputEvent, prevWordArrayFieldId));
|
||||
jbooleanArray isPrevWordBeginningOfSentenceArray = static_cast<jbooleanArray>(
|
||||
env->GetObjectField(inputEvent, isPrevWordBoSArrayFieldId));
|
||||
jboolean isValid = env->GetBooleanField(inputEvent, isValidFieldId);
|
||||
jint timestamp = env->GetIntField(inputEvent, timestampFieldId);
|
||||
const NgramContext ngramContext = JniDataUtils::constructNgramContext(env,
|
||||
prevWordArray, isPrevWordBeginningOfSentenceArray, prevWordCount);
|
||||
// Use 1 for count to indicate the word has inputted.
|
||||
const UnigramProperty unigramProperty(false /* isBeginningOfSentence */, isNotAWord,
|
||||
isPossiblyOffensive, unigramProbability,
|
||||
HistoricalInfo(timestamp, 0 /* level */, 1 /* count */), std::move(shortcuts));
|
||||
dictionary->addUnigramEntry(CodePointArrayView(word1CodePoints, word1Length),
|
||||
&unigramProperty);
|
||||
if (word0) {
|
||||
jint bigramProbability = env->GetIntField(languageModelParam, bigramProbabilityFieldId);
|
||||
// Use 1 for count to indicate the bigram has inputted.
|
||||
const NgramContext ngramContext(word0CodePoints, word0Length,
|
||||
false /* isBeginningOfSentence */);
|
||||
const NgramProperty ngramProperty(ngramContext,
|
||||
CodePointArrayView(word1CodePoints, word1Length).toVector(),
|
||||
bigramProbability, HistoricalInfo(timestamp, 0 /* level */, 1 /* count */));
|
||||
dictionary->addNgramEntry(&ngramProperty);
|
||||
}
|
||||
dictionary->updateEntriesForWordWithNgramContext(&ngramContext,
|
||||
CodePointArrayView(wordCodePoints, wordLength), isValid,
|
||||
HistoricalInfo(timestamp, 0 /* level */, 1 /* count */));
|
||||
if (dictionary->needsToRunGC(true /* mindsBlockByGC */)) {
|
||||
return i + 1;
|
||||
}
|
||||
env->DeleteLocalRef(word0);
|
||||
env->DeleteLocalRef(word1);
|
||||
env->DeleteLocalRef(shortcutTarget);
|
||||
env->DeleteLocalRef(languageModelParam);
|
||||
env->DeleteLocalRef(prevWordArray);
|
||||
env->DeleteLocalRef(isPrevWordBeginningOfSentenceArray);
|
||||
env->DeleteLocalRef(inputEvent);
|
||||
}
|
||||
return languageModelParamCount;
|
||||
return inputEventCount;
|
||||
}
|
||||
|
||||
static jstring latinime_BinaryDictionary_getProperty(JNIEnv *env, jclass clazz, jlong dict,
|
||||
|
@ -754,10 +716,10 @@ static const JNINativeMethod sMethods[] = {
|
|||
reinterpret_cast<void *>(latinime_BinaryDictionary_updateEntriesForWordWithNgramContext)
|
||||
},
|
||||
{
|
||||
const_cast<char *>("addMultipleDictionaryEntriesNative"),
|
||||
const_cast<char *>("updateEntriesForInputEventsNative"),
|
||||
const_cast<char *>(
|
||||
"(J[Lcom/android/inputmethod/latin/utils/LanguageModelParam;I)I"),
|
||||
reinterpret_cast<void *>(latinime_BinaryDictionary_addMultipleDictionaryEntries)
|
||||
"(J[Lcom/android/inputmethod/latin/utils/WordInputEventForPersonalization;I)I"),
|
||||
reinterpret_cast<void *>(latinime_BinaryDictionary_updateEntriesForInputEvents)
|
||||
},
|
||||
{
|
||||
const_cast<char *>("getPropertyNative"),
|
||||
|
|
|
@ -50,6 +50,7 @@ class JniDataUtils {
|
|||
const jsize keyUtf8Length = env->GetStringUTFLength(keyString);
|
||||
char keyChars[keyUtf8Length + 1];
|
||||
env->GetStringUTFRegion(keyString, 0, env->GetStringLength(keyString), keyChars);
|
||||
env->DeleteLocalRef(keyString);
|
||||
keyChars[keyUtf8Length] = '\0';
|
||||
DictionaryHeaderStructurePolicy::AttributeMap::key_type key;
|
||||
HeaderReadWriteUtils::insertCharactersIntoVector(keyChars, &key);
|
||||
|
@ -59,6 +60,7 @@ class JniDataUtils {
|
|||
const jsize valueUtf8Length = env->GetStringUTFLength(valueString);
|
||||
char valueChars[valueUtf8Length + 1];
|
||||
env->GetStringUTFRegion(valueString, 0, env->GetStringLength(valueString), valueChars);
|
||||
env->DeleteLocalRef(valueString);
|
||||
valueChars[valueUtf8Length] = '\0';
|
||||
DictionaryHeaderStructurePolicy::AttributeMap::mapped_type value;
|
||||
HeaderReadWriteUtils::insertCharactersIntoVector(valueChars, &value);
|
||||
|
@ -113,6 +115,7 @@ class JniDataUtils {
|
|||
continue;
|
||||
}
|
||||
env->GetIntArrayRegion(prevWord, 0, prevWordLength, prevWordCodePoints[i]);
|
||||
env->DeleteLocalRef(prevWord);
|
||||
prevWordCodePointCount[i] = prevWordLength;
|
||||
jboolean isBeginningOfSentenceBoolean = JNI_FALSE;
|
||||
env->GetBooleanArrayRegion(isBeginningOfSentenceArray, i, 1 /* len */,
|
||||
|
|
|
@ -32,6 +32,7 @@ import com.android.inputmethod.latin.makedict.UnsupportedFormatException;
|
|||
import com.android.inputmethod.latin.utils.BinaryDictionaryUtils;
|
||||
import com.android.inputmethod.latin.utils.FileUtils;
|
||||
import com.android.inputmethod.latin.utils.LocaleUtils;
|
||||
import com.android.inputmethod.latin.utils.WordInputEventForPersonalization;
|
||||
|
||||
import java.io.File;
|
||||
import java.io.IOException;
|
||||
|
@ -39,6 +40,7 @@ import java.util.ArrayList;
|
|||
import java.util.HashMap;
|
||||
import java.util.HashSet;
|
||||
import java.util.Locale;
|
||||
import java.util.Map;
|
||||
import java.util.Random;
|
||||
import java.util.concurrent.TimeUnit;
|
||||
|
||||
|
@ -748,4 +750,66 @@ public class BinaryDictionaryDecayingTests extends AndroidTestCase {
|
|||
|
||||
binaryDictionary.close();
|
||||
}
|
||||
|
||||
public void testUpdateEntriesForInputEvents() {
|
||||
for (final int formatVersion : DICT_FORMAT_VERSIONS) {
|
||||
testUpdateEntriesForInputEvents(formatVersion);
|
||||
}
|
||||
}
|
||||
|
||||
private void testUpdateEntriesForInputEvents(final int formatVersion) {
|
||||
setCurrentTimeForTestMode(mCurrentTime);
|
||||
final int codePointSetSize = 20;
|
||||
final int EVENT_COUNT = 1000;
|
||||
final double CONTINUE_RATE = 0.9;
|
||||
final long seed = System.currentTimeMillis();
|
||||
final Random random = new Random(seed);
|
||||
final File dictFile = createEmptyDictionaryAndGetFile(formatVersion);
|
||||
|
||||
final int[] codePointSet = CodePointUtils.generateCodePointSet(codePointSetSize, random);
|
||||
final ArrayList<String> unigrams = new ArrayList<>();
|
||||
final ArrayList<Pair<String, String>> bigrams = new ArrayList<>();
|
||||
final ArrayList<Pair<Pair<String, String>, String>> trigrams = new ArrayList<>();
|
||||
|
||||
final WordInputEventForPersonalization[] inputEvents =
|
||||
new WordInputEventForPersonalization[EVENT_COUNT];
|
||||
NgramContext ngramContext = NgramContext.EMPTY_PREV_WORDS_INFO;
|
||||
int prevWordCount = 0;
|
||||
for (int i = 0; i < inputEvents.length; i++) {
|
||||
final String word = CodePointUtils.generateWord(random, codePointSet);
|
||||
inputEvents[i] = new WordInputEventForPersonalization(word, ngramContext,
|
||||
true /* isValid */, mCurrentTime);
|
||||
unigrams.add(word);
|
||||
if (prevWordCount >= 2) {
|
||||
final Pair<String, String> prevWordsPair = bigrams.get(bigrams.size() - 1);
|
||||
trigrams.add(new Pair<>(prevWordsPair, word));
|
||||
}
|
||||
if (prevWordCount >= 1) {
|
||||
bigrams.add(new Pair<>(ngramContext.getNthPrevWord(1 /* n */).toString(), word));
|
||||
}
|
||||
if (random.nextDouble() > CONTINUE_RATE) {
|
||||
ngramContext = NgramContext.EMPTY_PREV_WORDS_INFO;
|
||||
prevWordCount = 0;
|
||||
} else {
|
||||
ngramContext = ngramContext.getNextNgramContext(new WordInfo(word));
|
||||
prevWordCount++;
|
||||
}
|
||||
}
|
||||
final BinaryDictionary binaryDictionary = getBinaryDictionary(dictFile);
|
||||
binaryDictionary.updateEntriesForInputEvents(inputEvents);
|
||||
|
||||
for (final String word : unigrams) {
|
||||
assertTrue(binaryDictionary.isInDictionary(word));
|
||||
}
|
||||
for (final Pair<String, String> bigram : bigrams) {
|
||||
assertTrue(isValidBigram(binaryDictionary, bigram.first, bigram.second));
|
||||
}
|
||||
if (!supportsNgram(formatVersion)) {
|
||||
return;
|
||||
}
|
||||
for (final Pair<Pair<String, String>, String> trigram : trigrams) {
|
||||
assertTrue(isValidTrigram(binaryDictionary, trigram.first.first, trigram.first.second,
|
||||
trigram.second));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
@ -29,7 +29,6 @@ import com.android.inputmethod.latin.makedict.WeightedString;
|
|||
import com.android.inputmethod.latin.makedict.WordProperty;
|
||||
import com.android.inputmethod.latin.utils.BinaryDictionaryUtils;
|
||||
import com.android.inputmethod.latin.utils.FileUtils;
|
||||
import com.android.inputmethod.latin.utils.LanguageModelParam;
|
||||
|
||||
import java.io.File;
|
||||
import java.io.IOException;
|
||||
|
@ -884,63 +883,6 @@ public class BinaryDictionaryTests extends AndroidTestCase {
|
|||
}
|
||||
}
|
||||
|
||||
public void testAddMultipleDictionaryEntries() {
|
||||
for (final int formatVersion : DICT_FORMAT_VERSIONS) {
|
||||
testAddMultipleDictionaryEntries(formatVersion);
|
||||
}
|
||||
}
|
||||
|
||||
private void testAddMultipleDictionaryEntries(final int formatVersion) {
|
||||
final int codePointSetSize = 20;
|
||||
final int lmParamCount = 1000;
|
||||
final double bigramContinueRate = 0.9;
|
||||
final long seed = System.currentTimeMillis();
|
||||
final Random random = new Random(seed);
|
||||
final File dictFile = createEmptyDictionaryAndGetFile(formatVersion);
|
||||
|
||||
final int[] codePointSet = CodePointUtils.generateCodePointSet(codePointSetSize, random);
|
||||
final HashMap<String, Integer> unigramProbabilities = new HashMap<>();
|
||||
final HashMap<Pair<String, String>, Integer> bigramProbabilities = new HashMap<>();
|
||||
|
||||
final LanguageModelParam[] languageModelParams = new LanguageModelParam[lmParamCount];
|
||||
String prevWord = null;
|
||||
for (int i = 0; i < languageModelParams.length; i++) {
|
||||
final String word = CodePointUtils.generateWord(random, codePointSet);
|
||||
final int probability = random.nextInt(0xFF);
|
||||
final int bigramProbability = probability + random.nextInt(0xFF - probability);
|
||||
unigramProbabilities.put(word, probability);
|
||||
if (prevWord == null) {
|
||||
languageModelParams[i] = new LanguageModelParam(word, probability,
|
||||
BinaryDictionary.NOT_A_VALID_TIMESTAMP);
|
||||
} else {
|
||||
languageModelParams[i] = new LanguageModelParam(prevWord, word, probability,
|
||||
bigramProbability, BinaryDictionary.NOT_A_VALID_TIMESTAMP);
|
||||
bigramProbabilities.put(new Pair<>(prevWord, word),
|
||||
bigramProbability);
|
||||
}
|
||||
prevWord = (random.nextDouble() < bigramContinueRate) ? word : null;
|
||||
}
|
||||
|
||||
final BinaryDictionary binaryDictionary = getBinaryDictionary(dictFile);
|
||||
binaryDictionary.addMultipleDictionaryEntries(languageModelParams);
|
||||
|
||||
for (Map.Entry<String, Integer> entry : unigramProbabilities.entrySet()) {
|
||||
assertEquals((int)entry.getValue(), binaryDictionary.getFrequency(entry.getKey()));
|
||||
}
|
||||
|
||||
for (Map.Entry<Pair<String, String>, Integer> entry : bigramProbabilities.entrySet()) {
|
||||
final String word0 = entry.getKey().first;
|
||||
final String word1 = entry.getKey().second;
|
||||
final int bigramProbability = entry.getValue();
|
||||
assertEquals(bigramProbability != Dictionary.NOT_A_PROBABILITY,
|
||||
isValidBigram(binaryDictionary, word0, word1));
|
||||
if (canCheckBigramProbability(formatVersion)) {
|
||||
assertEquals(bigramProbability,
|
||||
getBigramProbability(binaryDictionary, word0, word1));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
public void testGetWordProperties() {
|
||||
for (final int formatVersion : DICT_FORMAT_VERSIONS) {
|
||||
testGetWordProperties(formatVersion);
|
||||
|
|
|
@ -30,7 +30,7 @@ import com.android.inputmethod.latin.Dictionary;
|
|||
import com.android.inputmethod.latin.DictionaryFacilitator;
|
||||
import com.android.inputmethod.latin.ExpandableBinaryDictionary;
|
||||
import com.android.inputmethod.latin.RichInputMethodManager;
|
||||
import com.android.inputmethod.latin.ExpandableBinaryDictionary.AddMultipleDictionaryEntriesCallback;
|
||||
import com.android.inputmethod.latin.ExpandableBinaryDictionary.UpdateEntriesForInputEventsCallback;
|
||||
import com.android.inputmethod.latin.common.CodePointUtils;
|
||||
import com.android.inputmethod.latin.settings.SpacingAndPunctuations;
|
||||
|
||||
|
@ -96,8 +96,8 @@ public class PersonalizationDictionaryTests extends AndroidTestCase {
|
|||
true /* inputByUser */, tokens, timeStampInSeconds, DUMMY_PACKAGE_NAME,
|
||||
LOCALE_EN_US.getLanguage());
|
||||
final CountDownLatch countDownLatch = new CountDownLatch(1);
|
||||
final AddMultipleDictionaryEntriesCallback callback =
|
||||
new AddMultipleDictionaryEntriesCallback() {
|
||||
final UpdateEntriesForInputEventsCallback callback =
|
||||
new UpdateEntriesForInputEventsCallback() {
|
||||
@Override
|
||||
public void onFinished() {
|
||||
countDownLatch.countDown();
|
||||
|
|
Loading…
Reference in a new issue