5a346afab9
Bug: 8661070 This is a revival version of I421bed14cc71af771510142365 No diff in the test Change-Id: I96bc9cec531682cce78bcf83223dcd2395b2be77
533 lines
25 KiB
C++
533 lines
25 KiB
C++
/*
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* Copyright (C) 2012 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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#include "suggest/core/suggest.h"
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#include "char_utils.h"
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#include "dictionary.h"
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#include "digraph_utils.h"
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#include "proximity_info.h"
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#include "suggest/core/dicnode/dic_node.h"
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#include "suggest/core/dicnode/dic_node_priority_queue.h"
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#include "suggest/core/dicnode/dic_node_vector.h"
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#include "suggest/core/dictionary/shortcut_utils.h"
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#include "suggest/core/policy/scoring.h"
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#include "suggest/core/policy/traversal.h"
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#include "suggest/core/policy/weighting.h"
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#include "suggest/core/session/dic_traverse_session.h"
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#include "terminal_attributes.h"
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namespace latinime {
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// Initialization of class constants.
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const int Suggest::MIN_LEN_FOR_MULTI_WORD_AUTOCORRECT = 16;
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const int Suggest::MIN_CONTINUOUS_SUGGESTION_INPUT_SIZE = 2;
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const float Suggest::AUTOCORRECT_CLASSIFICATION_THRESHOLD = 0.33f;
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/**
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* Returns a set of suggestions for the given input touch points. The commitPoint argument indicates
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* whether to prematurely commit the suggested words up to the given point for sentence-level
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* suggestion.
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*
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* Note: Currently does not support concurrent calls across threads. Continuous suggestion is
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* automatically activated for sequential calls that share the same starting input.
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* TODO: Stop detecting continuous suggestion. Start using traverseSession instead.
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*/
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int Suggest::getSuggestions(ProximityInfo *pInfo, void *traverseSession,
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int *inputXs, int *inputYs, int *times, int *pointerIds, int *inputCodePoints,
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int inputSize, int commitPoint, int *outWords, int *frequencies, int *outputIndices,
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int *outputTypes) const {
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PROF_OPEN;
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PROF_START(0);
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const float maxSpatialDistance = TRAVERSAL->getMaxSpatialDistance();
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DicTraverseSession *tSession = static_cast<DicTraverseSession *>(traverseSession);
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tSession->setupForGetSuggestions(pInfo, inputCodePoints, inputSize, inputXs, inputYs, times,
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pointerIds, maxSpatialDistance, TRAVERSAL->getMaxPointerCount());
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// TODO: Add the way to evaluate cache
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initializeSearch(tSession, commitPoint);
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PROF_END(0);
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PROF_START(1);
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// keep expanding search dicNodes until all have terminated.
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while (tSession->getDicTraverseCache()->activeSize() > 0) {
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expandCurrentDicNodes(tSession);
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tSession->getDicTraverseCache()->advanceActiveDicNodes();
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tSession->getDicTraverseCache()->advanceInputIndex(inputSize);
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}
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PROF_END(1);
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PROF_START(2);
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const int size = outputSuggestions(tSession, frequencies, outWords, outputIndices, outputTypes);
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PROF_END(2);
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PROF_CLOSE;
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return size;
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}
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/**
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* Initializes the search at the root of the lexicon trie. Note that when possible the search will
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* continue suggestion from where it left off during the last call.
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*/
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void Suggest::initializeSearch(DicTraverseSession *traverseSession, int commitPoint) const {
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if (!traverseSession->getProximityInfoState(0)->isUsed()) {
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return;
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}
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if (TRAVERSAL->allowPartialCommit()) {
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commitPoint = 0;
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}
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if (traverseSession->getInputSize() > MIN_CONTINUOUS_SUGGESTION_INPUT_SIZE
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&& traverseSession->isContinuousSuggestionPossible()) {
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if (commitPoint == 0) {
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// Continue suggestion
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traverseSession->getDicTraverseCache()->continueSearch();
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} else {
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// Continue suggestion after partial commit.
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DicNode *topDicNode =
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traverseSession->getDicTraverseCache()->setCommitPoint(commitPoint);
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traverseSession->setPrevWordPos(topDicNode->getPrevWordNodePos());
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traverseSession->getDicTraverseCache()->continueSearch();
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traverseSession->setPartiallyCommited();
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}
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} else {
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// Restart recognition at the root.
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traverseSession->resetCache(TRAVERSAL->getMaxCacheSize(), MAX_RESULTS);
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// Create a new dic node here
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DicNode rootNode;
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DicNodeUtils::initAsRoot(traverseSession->getDicRootPos(),
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traverseSession->getOffsetDict(), traverseSession->getPrevWordPos(), &rootNode);
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traverseSession->getDicTraverseCache()->copyPushActive(&rootNode);
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}
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}
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/**
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* Outputs the final list of suggestions (i.e., terminal nodes).
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*/
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int Suggest::outputSuggestions(DicTraverseSession *traverseSession, int *frequencies,
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int *outputCodePoints, int *spaceIndices, int *outputTypes) const {
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#if DEBUG_EVALUATE_MOST_PROBABLE_STRING
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const int terminalSize = 0;
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#else
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const int terminalSize = min(MAX_RESULTS,
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static_cast<int>(traverseSession->getDicTraverseCache()->terminalSize()));
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#endif
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DicNode terminals[MAX_RESULTS]; // Avoiding non-POD variable length array
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for (int index = terminalSize - 1; index >= 0; --index) {
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traverseSession->getDicTraverseCache()->popTerminal(&terminals[index]);
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}
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const float languageWeight = SCORING->getAdjustedLanguageWeight(
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traverseSession, terminals, terminalSize);
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int outputWordIndex = 0;
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// Insert most probable word at index == 0 as long as there is one terminal at least
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const bool hasMostProbableString =
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SCORING->getMostProbableString(traverseSession, terminalSize, languageWeight,
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&outputCodePoints[0], &outputTypes[0], &frequencies[0]);
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if (hasMostProbableString) {
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++outputWordIndex;
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}
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// Initial value of the loop index for terminal nodes (words)
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int doubleLetterTerminalIndex = -1;
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DoubleLetterLevel doubleLetterLevel = NOT_A_DOUBLE_LETTER;
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SCORING->searchWordWithDoubleLetter(terminals, terminalSize,
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&doubleLetterTerminalIndex, &doubleLetterLevel);
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int maxScore = S_INT_MIN;
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// Output suggestion results here
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for (int terminalIndex = 0; terminalIndex < terminalSize && outputWordIndex < MAX_RESULTS;
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++terminalIndex) {
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DicNode *terminalDicNode = &terminals[terminalIndex];
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if (DEBUG_GEO_FULL) {
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terminalDicNode->dump("OUT:");
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}
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const float doubleLetterCost = SCORING->getDoubleLetterDemotionDistanceCost(
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terminalIndex, doubleLetterTerminalIndex, doubleLetterLevel);
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const float compoundDistance = terminalDicNode->getCompoundDistance(languageWeight)
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+ doubleLetterCost;
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const TerminalAttributes terminalAttributes(traverseSession->getOffsetDict(),
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terminalDicNode->getFlags(), terminalDicNode->getAttributesPos());
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const bool isPossiblyOffensiveWord = terminalDicNode->getProbability() <= 0;
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const bool isExactMatch = terminalDicNode->isExactMatch();
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const bool isFirstCharUppercase = terminalDicNode->isFirstCharUppercase();
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// Heuristic: We exclude freq=0 first-char-uppercase words from exact match.
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// (e.g. "AMD" and "and")
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const bool isSafeExactMatch = isExactMatch
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&& !(isPossiblyOffensiveWord && isFirstCharUppercase);
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const int outputTypeFlags =
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(isPossiblyOffensiveWord ? Dictionary::KIND_FLAG_POSSIBLY_OFFENSIVE : 0)
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| (isSafeExactMatch ? Dictionary::KIND_FLAG_EXACT_MATCH : 0);
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// Entries that are blacklisted or do not represent a word should not be output.
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const bool isValidWord = !terminalAttributes.isBlacklistedOrNotAWord();
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// Increase output score of top typing suggestion to ensure autocorrection.
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// TODO: Better integration with java side autocorrection logic.
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// Force autocorrection for obvious long multi-word suggestions.
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const bool isForceCommitMultiWords = TRAVERSAL->allowPartialCommit()
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&& (traverseSession->isPartiallyCommited()
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|| (traverseSession->getInputSize() >= MIN_LEN_FOR_MULTI_WORD_AUTOCORRECT
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&& terminalDicNode->hasMultipleWords()));
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const int finalScore = SCORING->calculateFinalScore(
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compoundDistance, traverseSession->getInputSize(),
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isForceCommitMultiWords || (isValidWord && SCORING->doesAutoCorrectValidWord()));
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maxScore = max(maxScore, finalScore);
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if (TRAVERSAL->allowPartialCommit()) {
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// Index for top typing suggestion should be 0.
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if (isValidWord && outputWordIndex == 0) {
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terminalDicNode->outputSpacePositionsResult(spaceIndices);
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}
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}
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// Don't output invalid words. However, we still need to submit their shortcuts if any.
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if (isValidWord) {
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outputTypes[outputWordIndex] = Dictionary::KIND_CORRECTION | outputTypeFlags;
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frequencies[outputWordIndex] = finalScore;
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// Populate the outputChars array with the suggested word.
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const int startIndex = outputWordIndex * MAX_WORD_LENGTH;
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terminalDicNode->outputResult(&outputCodePoints[startIndex]);
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++outputWordIndex;
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}
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const bool sameAsTyped = TRAVERSAL->sameAsTyped(traverseSession, terminalDicNode);
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outputWordIndex = ShortcutUtils::outputShortcuts(&terminalAttributes, outputWordIndex,
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finalScore, outputCodePoints, frequencies, outputTypes, sameAsTyped);
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DicNode::managedDelete(terminalDicNode);
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}
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if (hasMostProbableString) {
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SCORING->safetyNetForMostProbableString(terminalSize, maxScore,
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&outputCodePoints[0], &frequencies[0]);
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}
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return outputWordIndex;
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}
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/**
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* Expands the dicNodes in the current search priority queue by advancing to the possible child
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* nodes based on the next touch point(s) (or no touch points for lookahead)
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*/
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void Suggest::expandCurrentDicNodes(DicTraverseSession *traverseSession) const {
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const int inputSize = traverseSession->getInputSize();
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DicNodeVector childDicNodes(TRAVERSAL->getDefaultExpandDicNodeSize());
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DicNode correctionDicNode;
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// TODO: Find more efficient caching
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const bool shouldDepthLevelCache = TRAVERSAL->shouldDepthLevelCache(traverseSession);
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if (shouldDepthLevelCache) {
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traverseSession->getDicTraverseCache()->updateLastCachedInputIndex();
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}
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if (DEBUG_CACHE) {
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AKLOGI("expandCurrentDicNodes depth level cache = %d, inputSize = %d",
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shouldDepthLevelCache, inputSize);
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}
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while (traverseSession->getDicTraverseCache()->activeSize() > 0) {
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DicNode dicNode;
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traverseSession->getDicTraverseCache()->popActive(&dicNode);
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if (dicNode.isTotalInputSizeExceedingLimit()) {
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return;
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}
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childDicNodes.clear();
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const int point0Index = dicNode.getInputIndex(0);
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const bool canDoLookAheadCorrection =
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TRAVERSAL->canDoLookAheadCorrection(traverseSession, &dicNode);
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const bool isLookAheadCorrection = canDoLookAheadCorrection
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&& traverseSession->getDicTraverseCache()->
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isLookAheadCorrectionInputIndex(static_cast<int>(point0Index));
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const bool isCompletion = dicNode.isCompletion(inputSize);
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const bool shouldNodeLevelCache =
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TRAVERSAL->shouldNodeLevelCache(traverseSession, &dicNode);
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if (shouldDepthLevelCache || shouldNodeLevelCache) {
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if (DEBUG_CACHE) {
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dicNode.dump("PUSH_CACHE");
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}
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traverseSession->getDicTraverseCache()->copyPushContinue(&dicNode);
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dicNode.setCached();
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}
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if (dicNode.isInDigraph()) {
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// Finish digraph handling if the node is in the middle of a digraph expansion.
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processDicNodeAsDigraph(traverseSession, &dicNode);
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} else if (isLookAheadCorrection) {
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// The algorithm maintains a small set of "deferred" nodes that have not consumed the
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// latest touch point yet. These are needed to apply look-ahead correction operations
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// that require special handling of the latest touch point. For example, with insertions
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// (e.g., "thiis" -> "this") the latest touch point should not be consumed at all.
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processDicNodeAsTransposition(traverseSession, &dicNode);
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processDicNodeAsInsertion(traverseSession, &dicNode);
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} else { // !isLookAheadCorrection
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// Only consider typing error corrections if the normalized compound distance is
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// below a spatial distance threshold.
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// NOTE: the threshold may need to be updated if scoring model changes.
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// TODO: Remove. Do not prune node here.
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const bool allowsErrorCorrections = TRAVERSAL->allowsErrorCorrections(&dicNode);
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// Process for handling space substitution (e.g., hevis => he is)
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if (allowsErrorCorrections
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&& TRAVERSAL->isSpaceSubstitutionTerminal(traverseSession, &dicNode)) {
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createNextWordDicNode(traverseSession, &dicNode, true /* spaceSubstitution */);
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}
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DicNodeUtils::getAllChildDicNodes(
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&dicNode, traverseSession->getOffsetDict(), &childDicNodes);
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const int childDicNodesSize = childDicNodes.getSizeAndLock();
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for (int i = 0; i < childDicNodesSize; ++i) {
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DicNode *const childDicNode = childDicNodes[i];
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if (isCompletion) {
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// Handle forward lookahead when the lexicon letter exceeds the input size.
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processDicNodeAsMatch(traverseSession, childDicNode);
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continue;
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}
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if (DigraphUtils::hasDigraphForCodePoint(traverseSession->getDictFlags(),
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childDicNode->getNodeCodePoint())) {
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correctionDicNode.initByCopy(childDicNode);
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correctionDicNode.advanceDigraphIndex();
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processDicNodeAsDigraph(traverseSession, &correctionDicNode);
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}
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if (TRAVERSAL->isOmission(traverseSession, &dicNode, childDicNode,
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allowsErrorCorrections)) {
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// TODO: (Gesture) Change weight between omission and substitution errors
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// TODO: (Gesture) Terminal node should not be handled as omission
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correctionDicNode.initByCopy(childDicNode);
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processDicNodeAsOmission(traverseSession, &correctionDicNode);
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}
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const ProximityType proximityType = TRAVERSAL->getProximityType(
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traverseSession, &dicNode, childDicNode);
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switch (proximityType) {
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// TODO: Consider the difference of proximityType here
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case MATCH_CHAR:
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case PROXIMITY_CHAR:
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processDicNodeAsMatch(traverseSession, childDicNode);
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break;
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case ADDITIONAL_PROXIMITY_CHAR:
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if (allowsErrorCorrections) {
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processDicNodeAsAdditionalProximityChar(traverseSession, &dicNode,
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childDicNode);
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}
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break;
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case SUBSTITUTION_CHAR:
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if (allowsErrorCorrections) {
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processDicNodeAsSubstitution(traverseSession, &dicNode, childDicNode);
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}
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break;
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case UNRELATED_CHAR:
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// Just drop this node and do nothing.
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break;
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default:
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// Just drop this node and do nothing.
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break;
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}
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}
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// Push the node for look-ahead correction
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if (allowsErrorCorrections && canDoLookAheadCorrection) {
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traverseSession->getDicTraverseCache()->copyPushNextActive(&dicNode);
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}
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}
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}
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}
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void Suggest::processTerminalDicNode(
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DicTraverseSession *traverseSession, DicNode *dicNode) const {
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if (dicNode->getCompoundDistance() >= static_cast<float>(MAX_VALUE_FOR_WEIGHTING)) {
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return;
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}
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if (!dicNode->isTerminalWordNode()) {
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return;
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}
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if (TRAVERSAL->needsToTraverseAllUserInput()
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&& dicNode->getInputIndex(0) < traverseSession->getInputSize()) {
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return;
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}
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if (dicNode->shouldBeFilterdBySafetyNetForBigram()) {
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return;
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}
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// Create a non-cached node here.
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DicNode terminalDicNode;
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DicNodeUtils::initByCopy(dicNode, &terminalDicNode);
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Weighting::addCostAndForwardInputIndex(WEIGHTING, CT_TERMINAL, traverseSession, 0,
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&terminalDicNode, traverseSession->getMultiBigramMap());
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traverseSession->getDicTraverseCache()->copyPushTerminal(&terminalDicNode);
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}
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/**
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* Adds the expanded dicNode to the next search priority queue. Also creates an additional next word
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* (by the space omission error correction) search path if input dicNode is on a terminal node.
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*/
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void Suggest::processExpandedDicNode(
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DicTraverseSession *traverseSession, DicNode *dicNode) const {
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processTerminalDicNode(traverseSession, dicNode);
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if (dicNode->getCompoundDistance() < static_cast<float>(MAX_VALUE_FOR_WEIGHTING)) {
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if (TRAVERSAL->isSpaceOmissionTerminal(traverseSession, dicNode)) {
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createNextWordDicNode(traverseSession, dicNode, false /* spaceSubstitution */);
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}
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const int allowsLookAhead = !(dicNode->hasMultipleWords()
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&& dicNode->isCompletion(traverseSession->getInputSize()));
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if (dicNode->hasChildren() && allowsLookAhead) {
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traverseSession->getDicTraverseCache()->copyPushNextActive(dicNode);
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}
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}
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DicNode::managedDelete(dicNode);
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}
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void Suggest::processDicNodeAsMatch(DicTraverseSession *traverseSession,
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DicNode *childDicNode) const {
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weightChildNode(traverseSession, childDicNode);
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processExpandedDicNode(traverseSession, childDicNode);
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}
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void Suggest::processDicNodeAsAdditionalProximityChar(DicTraverseSession *traverseSession,
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DicNode *dicNode, DicNode *childDicNode) const {
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// Note: Most types of corrections don't need to look up the bigram information since they do
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// not treat the node as a terminal. There is no need to pass the bigram map in these cases.
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Weighting::addCostAndForwardInputIndex(WEIGHTING, CT_ADDITIONAL_PROXIMITY,
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traverseSession, dicNode, childDicNode, 0 /* multiBigramMap */);
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weightChildNode(traverseSession, childDicNode);
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processExpandedDicNode(traverseSession, childDicNode);
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}
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void Suggest::processDicNodeAsSubstitution(DicTraverseSession *traverseSession,
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DicNode *dicNode, DicNode *childDicNode) const {
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Weighting::addCostAndForwardInputIndex(WEIGHTING, CT_SUBSTITUTION, traverseSession,
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dicNode, childDicNode, 0 /* multiBigramMap */);
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weightChildNode(traverseSession, childDicNode);
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processExpandedDicNode(traverseSession, childDicNode);
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}
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// Process the node codepoint as a digraph. This means that composite glyphs like the German
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// u-umlaut is expanded to the transliteration "ue". Note that this happens in parallel with
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// the normal non-digraph traversal, so both "uber" and "ueber" can be corrected to "[u-umlaut]ber".
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void Suggest::processDicNodeAsDigraph(DicTraverseSession *traverseSession,
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DicNode *childDicNode) const {
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weightChildNode(traverseSession, childDicNode);
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childDicNode->advanceDigraphIndex();
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processExpandedDicNode(traverseSession, childDicNode);
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}
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/**
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* Handle the dicNode as an omission error (e.g., ths => this). Skip the current letter and consider
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* matches for all possible next letters. Note that just skipping the current letter without any
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* other conditions tends to flood the search dic nodes cache with omission nodes. Instead, check
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* the possible *next* letters after the omission to better limit search to plausible omissions.
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* Note that apostrophes are handled as omissions.
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|
*/
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|
void Suggest::processDicNodeAsOmission(
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DicTraverseSession *traverseSession, DicNode *dicNode) const {
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|
DicNodeVector childDicNodes;
|
|
DicNodeUtils::getAllChildDicNodes(dicNode, traverseSession->getOffsetDict(), &childDicNodes);
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|
|
|
const int size = childDicNodes.getSizeAndLock();
|
|
for (int i = 0; i < size; i++) {
|
|
DicNode *const childDicNode = childDicNodes[i];
|
|
// Treat this word as omission
|
|
Weighting::addCostAndForwardInputIndex(WEIGHTING, CT_OMISSION, traverseSession,
|
|
dicNode, childDicNode, 0 /* multiBigramMap */);
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|
weightChildNode(traverseSession, childDicNode);
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|
|
|
if (!TRAVERSAL->isPossibleOmissionChildNode(traverseSession, dicNode, childDicNode)) {
|
|
continue;
|
|
}
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|
processExpandedDicNode(traverseSession, childDicNode);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Handle the dicNode as an insertion error (e.g., thiis => this). Skip the current touch point and
|
|
* consider matches for the next touch point.
|
|
*/
|
|
void Suggest::processDicNodeAsInsertion(DicTraverseSession *traverseSession,
|
|
DicNode *dicNode) const {
|
|
const int16_t pointIndex = dicNode->getInputIndex(0);
|
|
DicNodeVector childDicNodes;
|
|
DicNodeUtils::getProximityChildDicNodes(dicNode, traverseSession->getOffsetDict(),
|
|
traverseSession->getProximityInfoState(0), pointIndex + 1, true, &childDicNodes);
|
|
const int size = childDicNodes.getSizeAndLock();
|
|
for (int i = 0; i < size; i++) {
|
|
DicNode *const childDicNode = childDicNodes[i];
|
|
Weighting::addCostAndForwardInputIndex(WEIGHTING, CT_INSERTION, traverseSession,
|
|
dicNode, childDicNode, 0 /* multiBigramMap */);
|
|
processExpandedDicNode(traverseSession, childDicNode);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Handle the dicNode as a transposition error (e.g., thsi => this). Swap the next two touch points.
|
|
*/
|
|
void Suggest::processDicNodeAsTransposition(DicTraverseSession *traverseSession,
|
|
DicNode *dicNode) const {
|
|
const int16_t pointIndex = dicNode->getInputIndex(0);
|
|
DicNodeVector childDicNodes1;
|
|
DicNodeUtils::getProximityChildDicNodes(dicNode, traverseSession->getOffsetDict(),
|
|
traverseSession->getProximityInfoState(0), pointIndex + 1, false, &childDicNodes1);
|
|
const int childSize1 = childDicNodes1.getSizeAndLock();
|
|
for (int i = 0; i < childSize1; i++) {
|
|
if (childDicNodes1[i]->hasChildren()) {
|
|
DicNodeVector childDicNodes2;
|
|
DicNodeUtils::getProximityChildDicNodes(
|
|
childDicNodes1[i], traverseSession->getOffsetDict(),
|
|
traverseSession->getProximityInfoState(0), pointIndex, false, &childDicNodes2);
|
|
const int childSize2 = childDicNodes2.getSizeAndLock();
|
|
for (int j = 0; j < childSize2; j++) {
|
|
DicNode *const childDicNode2 = childDicNodes2[j];
|
|
Weighting::addCostAndForwardInputIndex(WEIGHTING, CT_TRANSPOSITION,
|
|
traverseSession, childDicNodes1[i], childDicNode2, 0 /* multiBigramMap */);
|
|
processExpandedDicNode(traverseSession, childDicNode2);
|
|
}
|
|
}
|
|
DicNode::managedDelete(childDicNodes1[i]);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Weight child node by aligning it to the key
|
|
*/
|
|
void Suggest::weightChildNode(DicTraverseSession *traverseSession, DicNode *dicNode) const {
|
|
const int inputSize = traverseSession->getInputSize();
|
|
if (dicNode->isCompletion(inputSize)) {
|
|
Weighting::addCostAndForwardInputIndex(WEIGHTING, CT_COMPLETION, traverseSession,
|
|
0 /* parentDicNode */, dicNode, 0 /* multiBigramMap */);
|
|
} else { // completion
|
|
Weighting::addCostAndForwardInputIndex(WEIGHTING, CT_MATCH, traverseSession,
|
|
0 /* parentDicNode */, dicNode, 0 /* multiBigramMap */);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Creates a new dicNode that represents a space insertion at the end of the input dicNode. Also
|
|
* incorporates the unigram / bigram score for the ending word into the new dicNode.
|
|
*/
|
|
void Suggest::createNextWordDicNode(DicTraverseSession *traverseSession, DicNode *dicNode,
|
|
const bool spaceSubstitution) const {
|
|
if (!TRAVERSAL->isGoodToTraverseNextWord(dicNode)) {
|
|
return;
|
|
}
|
|
|
|
// Create a non-cached node here.
|
|
DicNode newDicNode;
|
|
DicNodeUtils::initAsRootWithPreviousWord(traverseSession->getDicRootPos(),
|
|
traverseSession->getOffsetDict(), dicNode, &newDicNode);
|
|
const CorrectionType correctionType = spaceSubstitution ?
|
|
CT_NEW_WORD_SPACE_SUBSTITUTION : CT_NEW_WORD_SPACE_OMITTION;
|
|
Weighting::addCostAndForwardInputIndex(WEIGHTING, correctionType, traverseSession, dicNode,
|
|
&newDicNode, traverseSession->getMultiBigramMap());
|
|
traverseSession->getDicTraverseCache()->copyPushNextActive(&newDicNode);
|
|
}
|
|
} // namespace latinime
|