1 /* 2 * Copyright (C) 2011 The Android Open Source Project 3 * 4 * Licensed under the Apache License, Version 2.0 (the "License"); 5 * you may not use this file except in compliance with the License. 6 * You may obtain a copy of the License at 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 10 * Unless required by applicable law or agreed to in writing, software 11 * distributed under the License is distributed on an "AS IS" BASIS, 12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 * See the License for the specific language governing permissions and 14 * limitations under the License. 15 */ 16 17 package com.android.inputmethod.latin.utils; 18 19 import android.util.Log; 20 21 import com.android.inputmethod.latin.SuggestedWords.SuggestedWordInfo; 22 import com.android.inputmethod.latin.define.DebugFlags; 23 24 public final class AutoCorrectionUtils { 25 private static final boolean DBG = DebugFlags.DEBUG_ENABLED; 26 private static final String TAG = AutoCorrectionUtils.class.getSimpleName(); 27 28 private AutoCorrectionUtils() { 29 // Purely static class: can't instantiate. 30 } 31 32 public static boolean suggestionExceedsThreshold(final SuggestedWordInfo suggestion, 33 final String consideredWord, final float threshold) { 34 if (null != suggestion) { 35 // Shortlist a whitelisted word 36 if (suggestion.isKindOf(SuggestedWordInfo.KIND_WHITELIST)) { 37 return true; 38 } 39 // TODO: return suggestion.isAprapreateForAutoCorrection(); 40 if (!suggestion.isAprapreateForAutoCorrection()) { 41 return false; 42 } 43 final int autoCorrectionSuggestionScore = suggestion.mScore; 44 // TODO: when the normalized score of the first suggestion is nearly equals to 45 // the normalized score of the second suggestion, behave less aggressive. 46 final float normalizedScore = BinaryDictionaryUtils.calcNormalizedScore( 47 consideredWord, suggestion.mWord, autoCorrectionSuggestionScore); 48 if (DBG) { 49 Log.d(TAG, "Normalized " + consideredWord + "," + suggestion + "," 50 + autoCorrectionSuggestionScore + ", " + normalizedScore 51 + "(" + threshold + ")"); 52 } 53 if (normalizedScore >= threshold) { 54 if (DBG) { 55 Log.d(TAG, "Exceeds threshold."); 56 } 57 return true; 58 } 59 } 60 return false; 61 } 62 } 63
