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Evaluate score by alignNextKeyToPath for not in the dictionary word. 

Change-Id: I68d30e734f8b4f629797d73d6b4745e967bdb09d
main
Keisuke Kuroyanagi 2012-10-12 19:46:23 +09:00
parent 1e06a4d8e9
commit 350309aeb8
1 changed files with 2 additions and 2 deletions
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4
native/jni/src/proximity_info_state.cpp
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@ -963,7 +963,7 @@ bool ProximityInfoState::suppressCharProbabilities(const int index0, const int i
// Get a word that is detected by tracing highest probability sequence into charBuf and returns // Get a word that is detected by tracing highest probability sequence into charBuf and returns
// probability of generating the word. // probability of generating the word.
float ProximityInfoState::getHighestProbabilitySequence(uint16_t *const charBuf) const { float ProximityInfoState::getHighestProbabilitySequence(uint16_t *const charBuf) const {
static const float LOG_PROBABILITY_MARGIN = 0.2f; static const float DEMOTION_LOG_PROBABILITY = 0.3f;
int index = 0; int index = 0;
float sumLogProbability = 0.0f; float sumLogProbability = 0.0f;
// TODO: Current implementation is greedy algorithm. DP would be efficient for many cases. // TODO: Current implementation is greedy algorithm. DP would be efficient for many cases.
@ -973,7 +973,7 @@ float ProximityInfoState::getHighestProbabilitySequence(uint16_t *const charBuf)
for (hash_map_compat<int, float>::const_iterator it = mCharProbabilities[i].begin(); for (hash_map_compat<int, float>::const_iterator it = mCharProbabilities[i].begin();
it != mCharProbabilities[i].end(); ++it) { it != mCharProbabilities[i].end(); ++it) {
const float logProbability = (it->first != NOT_AN_INDEX) const float logProbability = (it->first != NOT_AN_INDEX)
? it->second + LOG_PROBABILITY_MARGIN : it->second; ? it->second + DEMOTION_LOG_PROBABILITY : it->second;
if (logProbability < minLogProbability) { if (logProbability < minLogProbability) {
minLogProbability = logProbability; minLogProbability = logProbability;
character = it->first; character = it->first;