LatinIME/java/src/com/android/inputmethod/latin/utils/AutoCorrectionUtils.java

63 lines
2.5 KiB
Java

/*
* Copyright (C) 2011 The Android Open Source Project
*
* 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.
*/
package com.android.inputmethod.latin.utils;
import android.util.Log;
import com.android.inputmethod.latin.SuggestedWords.SuggestedWordInfo;
import com.android.inputmethod.latin.define.DebugFlags;
public final class AutoCorrectionUtils {
private static final boolean DBG = DebugFlags.DEBUG_ENABLED;
private static final String TAG = AutoCorrectionUtils.class.getSimpleName();
private AutoCorrectionUtils() {
// Purely static class: can't instantiate.
}
public static boolean suggestionExceedsThreshold(final SuggestedWordInfo suggestion,
final String consideredWord, final float threshold) {
if (null != suggestion) {
// Shortlist a whitelisted word
if (suggestion.isKindOf(SuggestedWordInfo.KIND_WHITELIST)) {
return true;
}
// TODO: return suggestion.isAprapreateForAutoCorrection();
if (!suggestion.isAprapreateForAutoCorrection()) {
return false;
}
final int autoCorrectionSuggestionScore = suggestion.mScore;
// TODO: when the normalized score of the first suggestion is nearly equals to
// the normalized score of the second suggestion, behave less aggressive.
final float normalizedScore = BinaryDictionaryUtils.calcNormalizedScore(
consideredWord, suggestion.mWord, autoCorrectionSuggestionScore);
if (DBG) {
Log.d(TAG, "Normalized " + consideredWord + "," + suggestion + ","
+ autoCorrectionSuggestionScore + ", " + normalizedScore
+ "(" + threshold + ")");
}
if (normalizedScore >= threshold) {
if (DBG) {
Log.d(TAG, "Exceeds threshold.");
}
return true;
}
}
return false;
}
}