aboutsummaryrefslogtreecommitdiffstats
path: root/java/src/com/android/inputmethod/latin/Suggest.java
diff options
context:
space:
mode:
Diffstat (limited to 'java/src/com/android/inputmethod/latin/Suggest.java')
-rw-r--r--java/src/com/android/inputmethod/latin/Suggest.java20
1 files changed, 12 insertions, 8 deletions
diff --git a/java/src/com/android/inputmethod/latin/Suggest.java b/java/src/com/android/inputmethod/latin/Suggest.java
index b03818c1d..1ecc995b2 100644
--- a/java/src/com/android/inputmethod/latin/Suggest.java
+++ b/java/src/com/android/inputmethod/latin/Suggest.java
@@ -84,7 +84,7 @@ public final class Suggest {
private static ArrayList<SuggestedWordInfo> getTransformedSuggestedWordInfoList(
final WordComposer wordComposer, final SuggestionResults results,
- final int trailingSingleQuotesCount) {
+ final int trailingSingleQuotesCount, final Locale defaultLocale) {
final boolean shouldMakeSuggestionsAllUpperCase = wordComposer.isAllUpperCase()
&& !wordComposer.isResumed();
final boolean isOnlyFirstCharCapitalized =
@@ -96,9 +96,11 @@ public final class Suggest {
|| 0 != trailingSingleQuotesCount) {
for (int i = 0; i < suggestionsCount; ++i) {
final SuggestedWordInfo wordInfo = suggestionsContainer.get(i);
+ final Locale wordLocale = wordInfo.mSourceDict.mLocale;
final SuggestedWordInfo transformedWordInfo = getTransformedSuggestedWordInfo(
- wordInfo, results.mLocale, shouldMakeSuggestionsAllUpperCase,
- isOnlyFirstCharCapitalized, trailingSingleQuotesCount);
+ wordInfo, null == wordLocale ? defaultLocale : wordLocale,
+ shouldMakeSuggestionsAllUpperCase, isOnlyFirstCharCapitalized,
+ trailingSingleQuotesCount);
suggestionsContainer.set(i, transformedWordInfo);
}
}
@@ -134,7 +136,7 @@ public final class Suggest {
SESSION_ID_TYPING);
final ArrayList<SuggestedWordInfo> suggestionsContainer =
getTransformedSuggestedWordInfoList(wordComposer, suggestionResults,
- trailingSingleQuotesCount);
+ trailingSingleQuotesCount, mDictionaryFacilitator.getLocale());
final boolean didRemoveTypedWord =
SuggestedWordInfo.removeDups(wordComposer.getTypedWord(), suggestionsContainer);
@@ -155,7 +157,7 @@ public final class Suggest {
if (!isCorrectionEnabled || !allowsToBeAutoCorrected || resultsArePredictions
|| suggestionResults.isEmpty() || wordComposer.hasDigits()
|| wordComposer.isMostlyCaps() || wordComposer.isResumed()
- || !mDictionaryFacilitator.hasInitializedMainDictionary()
+ || !mDictionaryFacilitator.hasAtLeastOneInitializedMainDictionary()
|| suggestionResults.first().isKindOf(SuggestedWordInfo.KIND_SHORTCUT)) {
// If we don't have a main dictionary, we never want to auto-correct. The reason for
// this is, the user may have a contact whose name happens to match a valid word in
@@ -214,6 +216,7 @@ public final class Suggest {
final SuggestionResults suggestionResults = mDictionaryFacilitator.getSuggestionResults(
wordComposer, prevWordsInfo, proximityInfo, settingsValuesForSuggestion,
SESSION_ID_GESTURE);
+ final Locale defaultLocale = mDictionaryFacilitator.getLocale();
final ArrayList<SuggestedWordInfo> suggestionsContainer =
new ArrayList<>(suggestionResults);
final int suggestionsCount = suggestionsContainer.size();
@@ -222,9 +225,10 @@ public final class Suggest {
if (isFirstCharCapitalized || isAllUpperCase) {
for (int i = 0; i < suggestionsCount; ++i) {
final SuggestedWordInfo wordInfo = suggestionsContainer.get(i);
+ final Locale wordlocale = wordInfo.mSourceDict.mLocale;
final SuggestedWordInfo transformedWordInfo = getTransformedSuggestedWordInfo(
- wordInfo, suggestionResults.mLocale, isAllUpperCase, isFirstCharCapitalized,
- 0 /* trailingSingleQuotesCount */);
+ wordInfo, null == wordlocale ? defaultLocale : wordlocale, isAllUpperCase,
+ isFirstCharCapitalized, 0 /* trailingSingleQuotesCount */);
suggestionsContainer.set(i, transformedWordInfo);
}
}
@@ -237,7 +241,7 @@ public final class Suggest {
SuggestedWordInfo.removeDups(null /* typedWord */, suggestionsContainer);
// For some reason some suggestions with MIN_VALUE are making their way here.
- // TODO: Find a more robust way to detect distractors.
+ // TODO: Find a more robust way to detect distracters.
for (int i = suggestionsContainer.size() - 1; i >= 0; --i) {
if (suggestionsContainer.get(i).mScore < SUPPRESS_SUGGEST_THRESHOLD) {
suggestionsContainer.remove(i);