nyancrimew
/
LatinIME
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Merge "Fix: "saomething" -> "something"."

main
Keisuke Kuroynagi 2013-07-24 09:38:53 +00:00 committed by Android (Google) Code Review
parent 9d313c6ce9 cb4a7c1d87
commit 0b358a448c
4 changed files with 20 additions and 14 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
native/jni/src/suggest/core/dicnode/dic_node.h
View File

@ -328,12 +328,12 @@ class DicNode {
return mDicNodeState.mDicNodeStatePrevWord.getPrevWordCount() > 0; return mDicNodeState.mDicNodeStatePrevWord.getPrevWordCount() > 0;
} }
float getProximityCorrectionCount() const { int getProximityCorrectionCount() const {
return static_cast<float>(mDicNodeState.mDicNodeStateScoring.getProximityCorrectionCount()); return mDicNodeState.mDicNodeStateScoring.getProximityCorrectionCount();
} }
float getEditCorrectionCount() const { int getEditCorrectionCount() const {
return static_cast<float>(mDicNodeState.mDicNodeStateScoring.getEditCorrectionCount()); return mDicNodeState.mDicNodeStateScoring.getEditCorrectionCount();
} }
// Used to prune nodes // Used to prune nodes

20
native/jni/src/suggest/policyimpl/typing/scoring_params.cpp
View File

@ -22,12 +22,14 @@ const float ScoringParams::MAX_SPATIAL_DISTANCE = 1.0f;
const int ScoringParams::THRESHOLD_NEXT_WORD_PROBABILITY = 40; const int ScoringParams::THRESHOLD_NEXT_WORD_PROBABILITY = 40;
const int ScoringParams::THRESHOLD_NEXT_WORD_PROBABILITY_FOR_CAPPED = 120; const int ScoringParams::THRESHOLD_NEXT_WORD_PROBABILITY_FOR_CAPPED = 120;
const float ScoringParams::AUTOCORRECT_OUTPUT_THRESHOLD = 1.0f; const float ScoringParams::AUTOCORRECT_OUTPUT_THRESHOLD = 1.0f;
const int ScoringParams::MAX_CACHE_DIC_NODE_SIZE = 125; // TODO: Unlimit max cache dic node size
const int ScoringParams::MAX_CACHE_DIC_NODE_SIZE = 170;
const int ScoringParams::THRESHOLD_SHORT_WORD_LENGTH = 4; const int ScoringParams::THRESHOLD_SHORT_WORD_LENGTH = 4;
const float ScoringParams::DISTANCE_WEIGHT_LENGTH = 0.132f; const float ScoringParams::DISTANCE_WEIGHT_LENGTH = 0.132f;
const float ScoringParams::PROXIMITY_COST = 0.086f; const float ScoringParams::PROXIMITY_COST = 0.095f;
const float ScoringParams::FIRST_PROXIMITY_COST = 0.104f; const float ScoringParams::FIRST_CHAR_PROXIMITY_COST = 0.102f;
const float ScoringParams::FIRST_PROXIMITY_COST = 0.019f;
const float ScoringParams::OMISSION_COST = 0.458f; const float ScoringParams::OMISSION_COST = 0.458f;
const float ScoringParams::OMISSION_COST_SAME_CHAR = 0.491f; const float ScoringParams::OMISSION_COST_SAME_CHAR = 0.491f;
const float ScoringParams::OMISSION_COST_FIRST_CHAR = 0.582f; const float ScoringParams::OMISSION_COST_FIRST_CHAR = 0.582f;
@ -35,19 +37,19 @@ const float ScoringParams::INSERTION_COST = 0.730f;
const float ScoringParams::INSERTION_COST_SAME_CHAR = 0.586f; const float ScoringParams::INSERTION_COST_SAME_CHAR = 0.586f;
const float ScoringParams::INSERTION_COST_PROXIMITY_CHAR = 0.70f; const float ScoringParams::INSERTION_COST_PROXIMITY_CHAR = 0.70f;
const float ScoringParams::INSERTION_COST_FIRST_CHAR = 0.623f; const float ScoringParams::INSERTION_COST_FIRST_CHAR = 0.623f;
const float ScoringParams::TRANSPOSITION_COST = 0.516f; const float ScoringParams::TRANSPOSITION_COST = 0.526f;
const float ScoringParams::SPACE_SUBSTITUTION_COST = 0.319f; const float ScoringParams::SPACE_SUBSTITUTION_COST = 0.319f;
const float ScoringParams::ADDITIONAL_PROXIMITY_COST = 0.380f; const float ScoringParams::ADDITIONAL_PROXIMITY_COST = 0.380f;
const float ScoringParams::SUBSTITUTION_COST = 0.403f; const float ScoringParams::SUBSTITUTION_COST = 0.383f;
const float ScoringParams::COST_NEW_WORD = 0.042f; const float ScoringParams::COST_NEW_WORD = 0.042f;
const float ScoringParams::COST_SECOND_OR_LATER_WORD_FIRST_CHAR_UPPERCASE = 0.25f; const float ScoringParams::COST_SECOND_OR_LATER_WORD_FIRST_CHAR_UPPERCASE = 0.25f;
const float ScoringParams::DISTANCE_WEIGHT_LANGUAGE = 1.123f; const float ScoringParams::DISTANCE_WEIGHT_LANGUAGE = 1.123f;
const float ScoringParams::COST_FIRST_LOOKAHEAD = 0.545f; const float ScoringParams::COST_FIRST_LOOKAHEAD = 0.545f;
const float ScoringParams::COST_LOOKAHEAD = 0.073f; const float ScoringParams::COST_LOOKAHEAD = 0.073f;
const float ScoringParams::HAS_PROXIMITY_TERMINAL_COST = 0.105f; const float ScoringParams::HAS_PROXIMITY_TERMINAL_COST = 0.093f;
const float ScoringParams::HAS_EDIT_CORRECTION_TERMINAL_COST = 0.038f; const float ScoringParams::HAS_EDIT_CORRECTION_TERMINAL_COST = 0.041f;
const float ScoringParams::HAS_MULTI_WORD_TERMINAL_COST = 0.444f; const float ScoringParams::HAS_MULTI_WORD_TERMINAL_COST = 0.447f;
const float ScoringParams::TYPING_BASE_OUTPUT_SCORE = 1.0f; const float ScoringParams::TYPING_BASE_OUTPUT_SCORE = 1.0f;
const float ScoringParams::TYPING_MAX_OUTPUT_SCORE_PER_INPUT = 0.1f; const float ScoringParams::TYPING_MAX_OUTPUT_SCORE_PER_INPUT = 0.1f;
const float ScoringParams::NORMALIZED_SPATIAL_DISTANCE_THRESHOLD_FOR_EDIT = 0.06f; const float ScoringParams::NORMALIZED_SPATIAL_DISTANCE_THRESHOLD_FOR_EDIT = 0.045f;
} // namespace latinime } // namespace latinime

1
native/jni/src/suggest/policyimpl/typing/scoring_params.h
View File

@ -36,6 +36,7 @@ class ScoringParams {
// TODO: explore optimization of gesture parameters. // TODO: explore optimization of gesture parameters.
static const float DISTANCE_WEIGHT_LENGTH; static const float DISTANCE_WEIGHT_LENGTH;
static const float PROXIMITY_COST; static const float PROXIMITY_COST;
static const float FIRST_CHAR_PROXIMITY_COST;
static const float FIRST_PROXIMITY_COST; static const float FIRST_PROXIMITY_COST;
static const float OMISSION_COST; static const float OMISSION_COST;
static const float OMISSION_COST_SAME_CHAR; static const float OMISSION_COST_SAME_CHAR;

5
native/jni/src/suggest/policyimpl/typing/typing_weighting.h
View File

@ -81,8 +81,11 @@ class TypingWeighting : public Weighting {
const bool isFirstChar = pointIndex == 0; const bool isFirstChar = pointIndex == 0;
const bool isProximity = isProximityDicNode(traverseSession, dicNode); const bool isProximity = isProximityDicNode(traverseSession, dicNode);
float cost = isProximity ? (isFirstChar ? ScoringParams::FIRST_PROXIMITY_COST float cost = isProximity ? (isFirstChar ? ScoringParams::FIRST_CHAR_PROXIMITY_COST
: ScoringParams::PROXIMITY_COST) : 0.0f; : ScoringParams::PROXIMITY_COST) : 0.0f;
if (isProximity && dicNode->getProximityCorrectionCount() == 0) {
cost += ScoringParams::FIRST_PROXIMITY_COST;
}
if (dicNode->getNodeCodePointCount() == 2) { if (dicNode->getNodeCodePointCount() == 2) {
// At the second character of the current word, we check if the first char is uppercase // At the second character of the current word, we check if the first char is uppercase
// and the word is a second or later word of a multiple word suggestion. We demote it // and the word is a second or later word of a multiple word suggestion. We demote it