am bf1beefd: Merge "Surface the distance after first word for autocommit."
* commit 'bf1beefd08222521b4f44638a06c0d7582a8e4ae': Surface the distance after first word for autocommit.main
commit
9c0740b782
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@ -375,7 +375,7 @@ typedef enum {
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CT_TERMINAL,
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CT_TERMINAL_INSERTION,
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// Create new word with space omission
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CT_NEW_WORD_SPACE_OMITTION,
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CT_NEW_WORD_SPACE_OMISSION,
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// Create new word with space substitution
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CT_NEW_WORD_SPACE_SUBSTITUTION,
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} CorrectionType;
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@ -38,10 +38,10 @@
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INTS_TO_CHARS(mDicNodeState.mDicNodeStatePrevWord.mPrevWord, \
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mDicNodeState.mDicNodeStatePrevWord.getPrevWordLength(), prevWordCharBuf, \
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NELEMS(prevWordCharBuf)); \
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AKLOGI("#%8s, %5f, %5f, %5f, %5f, %s, %s, %d,,", header, \
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AKLOGI("#%8s, %5f, %5f, %5f, %5f, %s, %s, %d, %5f,", header, \
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getSpatialDistanceForScoring(), getLanguageDistanceForScoring(), \
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getNormalizedCompoundDistance(), getRawLength(), prevWordCharBuf, charBuf, \
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getInputIndex(0)); \
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getInputIndex(0), getNormalizedCompoundDistanceAfterFirstWord()); \
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} while (0)
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#else
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#define LOGI_SHOW_ADD_COST_PROP
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@ -434,6 +434,13 @@ class DicNode {
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return mDicNodeState.mDicNodeStateScoring.getLanguageDistance();
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}
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// For space-aware gestures, we store the normalized distance at the char index
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// that ends the first word of the suggestion. We call this the distance after
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// first word.
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float getNormalizedCompoundDistanceAfterFirstWord() const {
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return mDicNodeState.mDicNodeStateScoring.getNormalizedCompoundDistanceAfterFirstWord();
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}
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float getLanguageDistanceRatePerWordForScoring() const {
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const float langDist = getLanguageDistanceForScoring();
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const float totalWordCount =
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@ -565,6 +572,12 @@ class DicNode {
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inputSize, getTotalInputIndex(), errorType);
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}
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// Saves the current normalized compound distance for space-aware gestures.
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// See getNormalizedCompoundDistanceAfterFirstWord for details.
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AK_FORCE_INLINE void saveNormalizedCompoundDistanceAfterFirstWordIfNoneYet() {
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mDicNodeState.mDicNodeStateScoring.saveNormalizedCompoundDistanceAfterFirstWordIfNoneYet();
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}
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// Caveat: Must not be called outside Weighting
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// This restriction is guaranteed by "friend"
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AK_FORCE_INLINE void forwardInputIndex(const int pointerId, const int count,
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@ -31,7 +31,8 @@ class DicNodeStateScoring {
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mDigraphIndex(DigraphUtils::NOT_A_DIGRAPH_INDEX),
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mEditCorrectionCount(0), mProximityCorrectionCount(0),
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mNormalizedCompoundDistance(0.0f), mSpatialDistance(0.0f), mLanguageDistance(0.0f),
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mRawLength(0.0f), mExactMatch(true) {
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mRawLength(0.0f), mExactMatch(true),
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mNormalizedCompoundDistanceAfterFirstWord(MAX_VALUE_FOR_WEIGHTING) {
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}
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virtual ~DicNodeStateScoring() {}
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@ -45,6 +46,7 @@ class DicNodeStateScoring {
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mRawLength = 0.0f;
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mDoubleLetterLevel = NOT_A_DOUBLE_LETTER;
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mDigraphIndex = DigraphUtils::NOT_A_DIGRAPH_INDEX;
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mNormalizedCompoundDistanceAfterFirstWord = MAX_VALUE_FOR_WEIGHTING;
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mExactMatch = true;
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}
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@ -58,6 +60,8 @@ class DicNodeStateScoring {
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mDoubleLetterLevel = scoring->mDoubleLetterLevel;
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mDigraphIndex = scoring->mDigraphIndex;
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mExactMatch = scoring->mExactMatch;
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mNormalizedCompoundDistanceAfterFirstWord =
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scoring->mNormalizedCompoundDistanceAfterFirstWord;
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}
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void addCost(const float spatialCost, const float languageCost, const bool doNormalization,
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@ -86,6 +90,17 @@ class DicNodeStateScoring {
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}
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}
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// Saves the current normalized distance for space-aware gestures.
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// See getNormalizedCompoundDistanceAfterFirstWord for details.
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void saveNormalizedCompoundDistanceAfterFirstWordIfNoneYet() {
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// We get called here after each word. We only want to store the distance after
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// the first word, so if we already have a distance we skip saving -- hence "IfNoneYet"
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// in the method name.
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if (mNormalizedCompoundDistanceAfterFirstWord >= MAX_VALUE_FOR_WEIGHTING) {
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mNormalizedCompoundDistanceAfterFirstWord = getNormalizedCompoundDistance();
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}
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}
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void addRawLength(const float rawLength) {
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mRawLength += rawLength;
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}
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@ -102,6 +117,13 @@ class DicNodeStateScoring {
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return mNormalizedCompoundDistance;
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}
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// For space-aware gestures, we store the normalized distance at the char index
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// that ends the first word of the suggestion. We call this the distance after
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// first word.
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float getNormalizedCompoundDistanceAfterFirstWord() const {
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return mNormalizedCompoundDistanceAfterFirstWord;
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}
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float getSpatialDistance() const {
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return mSpatialDistance;
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}
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@ -178,6 +200,7 @@ class DicNodeStateScoring {
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float mLanguageDistance;
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float mRawLength;
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bool mExactMatch;
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float mNormalizedCompoundDistanceAfterFirstWord;
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AK_FORCE_INLINE void addDistance(float spatialDistance, float languageDistance,
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bool doNormalization, int inputSize, int totalInputIndex) {
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@ -38,7 +38,7 @@ static inline void profile(const CorrectionType correctionType, DicNode *const n
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case CT_SUBSTITUTION:
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PROF_SUBSTITUTION(node->mProfiler);
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return;
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case CT_NEW_WORD_SPACE_OMITTION:
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case CT_NEW_WORD_SPACE_OMISSION:
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PROF_NEW_WORD(node->mProfiler);
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return;
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case CT_MATCH:
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@ -93,6 +93,11 @@ static inline void profile(const CorrectionType correctionType, DicNode *const n
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}
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dicNode->addCost(spatialCost, languageCost, weighting->needsToNormalizeCompoundDistance(),
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inputSize, errorType);
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if (CT_NEW_WORD_SPACE_OMISSION == correctionType) {
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// When we are on a terminal, we save the current distance for evaluating
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// when to auto-commit partial suggestions.
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dicNode->saveNormalizedCompoundDistanceAfterFirstWordIfNoneYet();
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}
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}
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/* static */ float Weighting::getSpatialCost(const Weighting *const weighting,
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@ -108,7 +113,7 @@ static inline void profile(const CorrectionType correctionType, DicNode *const n
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case CT_SUBSTITUTION:
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// only used for typing
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return weighting->getSubstitutionCost();
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case CT_NEW_WORD_SPACE_OMITTION:
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case CT_NEW_WORD_SPACE_OMISSION:
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return weighting->getNewWordSpatialCost(traverseSession, dicNode, inputStateG);
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case CT_MATCH:
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return weighting->getMatchedCost(traverseSession, dicNode, inputStateG);
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@ -138,7 +143,7 @@ static inline void profile(const CorrectionType correctionType, DicNode *const n
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return 0.0f;
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case CT_SUBSTITUTION:
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return 0.0f;
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case CT_NEW_WORD_SPACE_OMITTION:
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case CT_NEW_WORD_SPACE_OMISSION:
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return weighting->getNewWordBigramLanguageCost(
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traverseSession, parentDicNode, multiBigramMap);
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case CT_MATCH:
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@ -173,7 +178,7 @@ static inline void profile(const CorrectionType correctionType, DicNode *const n
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return 0; /* 0 because CT_MATCH will be called */
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case CT_SUBSTITUTION:
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return 0; /* 0 because CT_MATCH will be called */
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case CT_NEW_WORD_SPACE_OMITTION:
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case CT_NEW_WORD_SPACE_OMISSION:
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return 0;
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case CT_MATCH:
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return 1;
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@ -574,7 +574,7 @@ void Suggest::createNextWordDicNode(DicTraverseSession *traverseSession, DicNode
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DicNodeUtils::initAsRootWithPreviousWord(
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traverseSession->getDictionaryStructurePolicy(), dicNode, &newDicNode);
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const CorrectionType correctionType = spaceSubstitution ?
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CT_NEW_WORD_SPACE_SUBSTITUTION : CT_NEW_WORD_SPACE_OMITTION;
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CT_NEW_WORD_SPACE_SUBSTITUTION : CT_NEW_WORD_SPACE_OMISSION;
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Weighting::addCostAndForwardInputIndex(WEIGHTING, correctionType, traverseSession, dicNode,
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&newDicNode, traverseSession->getMultiBigramMap());
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if (newDicNode.getCompoundDistance() < static_cast<float>(MAX_VALUE_FOR_WEIGHTING)) {
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@ -47,7 +47,7 @@ ErrorType TypingWeighting::getErrorType(const CorrectionType correctionType,
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case CT_TERMINAL_INSERTION:
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case CT_TRANSPOSITION:
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return ET_EDIT_CORRECTION;
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case CT_NEW_WORD_SPACE_OMITTION:
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case CT_NEW_WORD_SPACE_OMISSION:
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case CT_NEW_WORD_SPACE_SUBSTITUTION:
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return ET_NEW_WORD;
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case CT_TERMINAL:
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