LatinIME/native/jni/src/suggest/core/suggest.cpp

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