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don't always ignore dictionary shortcuts, but only if the alternative word has been used in this ngram context

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Helium314 2023-08-17 14:09:23 +02:00
parent 801d82aa8a
commit 50383bcbe5
1 changed files with 25 additions and 7 deletions
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32
app/src/main/java/org/dslul/openboard/inputmethod/latin/Suggest.java
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@ -21,7 +21,9 @@ import android.text.TextUtils;
import org.dslul.openboard.inputmethod.keyboard.Keyboard;
import org.dslul.openboard.inputmethod.keyboard.KeyboardId;
import org.dslul.openboard.inputmethod.latin.SuggestedWords.SuggestedWordInfo;
import org.dslul.openboard.inputmethod.latin.common.ComposedData;
import org.dslul.openboard.inputmethod.latin.common.Constants;
import org.dslul.openboard.inputmethod.latin.common.InputPointers;
import org.dslul.openboard.inputmethod.latin.common.StringUtils;
import org.dslul.openboard.inputmethod.latin.define.DebugFlags;
import org.dslul.openboard.inputmethod.latin.settings.SettingsValuesForSuggestion;
@ -187,7 +189,7 @@ public final class Suggest {
}
}
final int firstOcurrenceOfTypedWordInSuggestions =
final int firstOccurrenceOfTypedWordInSuggestions =
SuggestedWordInfo.removeDupsAndTypedWord(typedWordString, suggestionsContainer);
final SuggestedWordInfo whitelistedWordInfo =
@ -241,7 +243,7 @@ public final class Suggest {
} else {
final SuggestedWordInfo firstSuggestion = suggestionResults.first();
if (suggestionResults.mFirstSuggestionExceedsConfidenceThreshold
&& firstOcurrenceOfTypedWordInSuggestions != 0) {
&& firstOccurrenceOfTypedWordInSuggestions != 0) {
// todo: mFirstSuggestionExceedsConfidenceThreshold is always false, so currently
// this branch is useless. remove the related logic, or actually use it
hasAutoCorrection = true;
@ -254,10 +256,26 @@ public final class Suggest {
// form to allow auto-correcting to it in this language. For details of how this
// is determined, see #isAllowedByAutoCorrectionWithSpaceFilter.
// TODO: this should not have its own logic here but be handled by the dictionary.
if (typedWordFirstOccurrenceWordInfo != null && typedWordFirstOccurrenceWordInfo.mScore > 1000000)
hasAutoCorrection = false; // do not autocorrect if typed word has a good score, todo: the threshold may need tuning
else
hasAutoCorrection = isAllowedByAutoCorrectionWithSpaceFilter(firstSuggestion);
final boolean allowed = isAllowedByAutoCorrectionWithSpaceFilter(firstSuggestion);
// todo: the threshold (currently 1000000) may need tuning
if (allowed && typedWordFirstOccurrenceWordInfo != null && typedWordFirstOccurrenceWordInfo.mScore > 1000000) {
// typed word is valid and has good score
// do not auto-correct if typed word is a prediction from ngram context alone
// todo: maybe instead check for both words, and check which one is better
// more complicated, could be better, but could also give unexpected results
boolean typedWordOccursInEmptyWordSuggestions = false;
final SuggestionResults emptyWordSuggestions = mDictionaryFacilitator.getSuggestionResults(
new ComposedData(new InputPointers(1), false, ""), ngramContext,
keyboard, settingsValuesForSuggestion, SESSION_ID_TYPING, inputStyleIfNotPrediction);
for (SuggestedWordInfo i : emptyWordSuggestions) {
if (typedWordString.equals(i.getWord())) {
typedWordOccursInEmptyWordSuggestions = true;
break;
}
}
hasAutoCorrection = !typedWordOccursInEmptyWordSuggestions;
} else
hasAutoCorrection = allowed;
}
}
@ -289,7 +307,7 @@ public final class Suggest {
inputStyle = inputStyleIfNotPrediction;
}
final boolean isTypedWordValid = firstOcurrenceOfTypedWordInSuggestions > -1
final boolean isTypedWordValid = firstOccurrenceOfTypedWordInSuggestions > -1
|| (!resultsArePredictions && !allowsToBeAutoCorrected);
if (hasAutoCorrection && typedWordFirstOccurrenceWordInfo != null) {