Remove duplicate new-word bigram cost (part 1)

Removes a duplicate application of the new word bigram cost and updates only
the related parameters (those associated with multi-word suggestions).

Note: test results will improve after full optimization.

[Category diff]
+1     357
-1     485
+2      16
-2      20
+3      20
-3      16
+4     198
-4     226
+5     510
-5     443
+6     518
-6     368
+7     394
-7     455

[Weighted category diff]
+1     482
-1     532
+2      22
-2      22
+3      22
-3      22
+4     233
-4     381
+5     578
-5     500
+6     617
-6     498
+7     522
-7     521

Bug: 8633962
Change-Id: I3c3ecc9460e8e03e44925e11b2d4b037a6c3b99e

native/jni/src/suggest/core/dicnode/dic_node.h

@@ -360,11 +360,6 @@ class DicNode {
         return mDicNodeState.mDicNodeStateScoring.getCompoundDistance(languageWeight);
     }
 
-    // Note that "cost" means delta for "distance" that is weighted.
-    float getTotalPrevWordsLanguageCost() const {
-        return mDicNodeState.mDicNodeStateScoring.getTotalPrevWordsLanguageCost();
-    }
-
     // Used to commit input partially
     int getPrevWordNodePos() const {
         return mDicNodeState.mDicNodeStatePrevWord.getPrevWordNodePos();

native/jni/src/suggest/core/dicnode/dic_node_state_scoring.h

@@ -31,7 +31,7 @@ class DicNodeStateScoring {
               mDigraphIndex(DigraphUtils::NOT_A_DIGRAPH_INDEX),
               mEditCorrectionCount(0), mProximityCorrectionCount(0),
               mNormalizedCompoundDistance(0.0f), mSpatialDistance(0.0f), mLanguageDistance(0.0f),
-              mTotalPrevWordsLanguageCost(0.0f), mRawLength(0.0f) {
+              mRawLength(0.0f) {
     }
 
     virtual ~DicNodeStateScoring() {}
@@ -42,7 +42,6 @@ class DicNodeStateScoring {
         mNormalizedCompoundDistance = 0.0f;
         mSpatialDistance = 0.0f;
         mLanguageDistance = 0.0f;
-        mTotalPrevWordsLanguageCost = 0.0f;
         mRawLength = 0.0f;
         mDoubleLetterLevel = NOT_A_DOUBLE_LETTER;
         mDigraphIndex = DigraphUtils::NOT_A_DIGRAPH_INDEX;
@@ -54,7 +53,6 @@ class DicNodeStateScoring {
         mNormalizedCompoundDistance = scoring->mNormalizedCompoundDistance;
         mSpatialDistance = scoring->mSpatialDistance;
         mLanguageDistance = scoring->mLanguageDistance;
-        mTotalPrevWordsLanguageCost = scoring->mTotalPrevWordsLanguageCost;
         mRawLength = scoring->mRawLength;
         mDoubleLetterLevel = scoring->mDoubleLetterLevel;
         mDigraphIndex = scoring->mDigraphIndex;
@@ -70,9 +68,6 @@ class DicNodeStateScoring {
         if (isProximityCorrection) {
             ++mProximityCorrectionCount;
         }
-        if (languageCost > 0.0f) {
-            setTotalPrevWordsLanguageCost(mTotalPrevWordsLanguageCost + languageCost);
-        }
     }
 
     void addRawLength(const float rawLength) {
@@ -148,10 +143,6 @@ class DicNodeStateScoring {
         }
     }
 
-    float getTotalPrevWordsLanguageCost() const {
-        return mTotalPrevWordsLanguageCost;
-    }
-
  private:
     // Caution!!!
     // Use a default copy constructor and an assign operator because shallow copies are ok
@@ -165,7 +156,6 @@ class DicNodeStateScoring {
     float mNormalizedCompoundDistance;
     float mSpatialDistance;
     float mLanguageDistance;
-    float mTotalPrevWordsLanguageCost;
     float mRawLength;
 
     AK_FORCE_INLINE void addDistance(float spatialDistance, float languageDistance,
@@ -179,11 +169,6 @@ class DicNodeStateScoring {
                     / static_cast<float>(max(1, totalInputIndex));
         }
     }
-
-    //TODO: remove
-    AK_FORCE_INLINE void setTotalPrevWordsLanguageCost(float totalPrevWordsLanguageCost) {
-        mTotalPrevWordsLanguageCost = totalPrevWordsLanguageCost;
-    }
 };
 } // namespace latinime
 #endif // LATINIME_DIC_NODE_STATE_SCORING_H

native/jni/src/suggest/policyimpl/typing/scoring_params.cpp

@@ -35,17 +35,17 @@ const float ScoringParams::INSERTION_COST = 0.670f;
 const float ScoringParams::INSERTION_COST_SAME_CHAR = 0.526f;
 const float ScoringParams::INSERTION_COST_FIRST_CHAR = 0.563f;
 const float ScoringParams::TRANSPOSITION_COST = 0.494f;
-const float ScoringParams::SPACE_SUBSTITUTION_COST = 0.239f;
+const float ScoringParams::SPACE_SUBSTITUTION_COST = 0.289f;
 const float ScoringParams::ADDITIONAL_PROXIMITY_COST = 0.380f;
 const float ScoringParams::SUBSTITUTION_COST = 0.363f;
-const float ScoringParams::COST_NEW_WORD = 0.054f;
+const float ScoringParams::COST_NEW_WORD = 0.024f;
 const float ScoringParams::COST_NEW_WORD_CAPITALIZED = 0.174f;
 const float ScoringParams::DISTANCE_WEIGHT_LANGUAGE = 1.123f;
 const float ScoringParams::COST_FIRST_LOOKAHEAD = 0.462f;
 const float ScoringParams::COST_LOOKAHEAD = 0.092f;
 const float ScoringParams::HAS_PROXIMITY_TERMINAL_COST = 0.126f;
 const float ScoringParams::HAS_EDIT_CORRECTION_TERMINAL_COST = 0.056f;
-const float ScoringParams::HAS_MULTI_WORD_TERMINAL_COST = 0.136f;
+const float ScoringParams::HAS_MULTI_WORD_TERMINAL_COST = 0.536f;
 const float ScoringParams::TYPING_BASE_OUTPUT_SCORE = 1.0f;
 const float ScoringParams::TYPING_MAX_OUTPUT_SCORE_PER_INPUT = 0.1f;
 const float ScoringParams::MAX_NORM_DISTANCE_FOR_EDIT = 0.1f;

native/jni/src/suggest/policyimpl/typing/typing_weighting.h

@@ -140,7 +140,7 @@ class TypingWeighting : public Weighting {
             const DicTraverseSession *const traverseSession, const DicNode *const dicNode,
             hash_map_compat<int, int16_t> *const bigramCacheMap) const {
         return DicNodeUtils::getBigramNodeImprobability(traverseSession->getOffsetDict(),
-                dicNode, bigramCacheMap);
+                dicNode, bigramCacheMap) * ScoringParams::DISTANCE_WEIGHT_LANGUAGE;
     }
 
     float getCompletionCost(const DicTraverseSession *const traverseSession,
@@ -164,13 +164,8 @@ class TypingWeighting : public Weighting {
         // because the input word shouldn't be treated as perfect
         const bool isExactMatch = !hasEditCount && !hasMultipleWords
                 && !hasProximityErrors && isSameLength;
-
-        const float totalPrevWordsLanguageCost = dicNode->getTotalPrevWordsLanguageCost();
         const float languageImprobability = isExactMatch ? 0.0f : dicNodeLanguageImprobability;
-        const float languageWeight = ScoringParams::DISTANCE_WEIGHT_LANGUAGE;
+        return languageImprobability * ScoringParams::DISTANCE_WEIGHT_LANGUAGE;
-        // TODO: Caveat: The following equation should be:
-        // totalPrevWordsLanguageCost + (languageImprobability * languageWeight);
-        return (totalPrevWordsLanguageCost + languageImprobability) * languageWeight;
     }
 
     AK_FORCE_INLINE bool needsToNormalizeCompoundDistance() const {