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am af75e48e: am 74577bed: Merge "Implement the heuristic for auto-commit." 

* commit 'af75e48efdc5be7d0b1c3d411017757454ed1799':
  Implement the heuristic for auto-commit.
main
Jean Chalard 2013-10-09 17:53:58 -07:00 committed by Android Git Automerger
parent 1f8eab7d79 af75e48efd
commit e398d09a50
6 changed files with 90 additions and 21 deletions
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19
java/src/com/android/inputmethod/latin/BinaryDictionary.java
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@ -44,9 +44,9 @@ public final class BinaryDictionary extends Dictionary {
private static final int MAX_WORD_LENGTH = Constants.DICTIONARY_MAX_WORD_LENGTH;
// Must be equal to MAX_RESULTS in native/jni/src/defines.h
private static final int MAX_RESULTS = 18;
// Required space count for auto commit.
// TODO: Remove this heuristic.
private static final int SPACE_COUNT_FOR_AUTO_COMMIT = 3;
// The cutoff returned by native for auto-commit confidence.
// Must be equal to CONFIDENCE_TO_AUTO_COMMIT in native/jni/src/defines.h
private static final int CONFIDENCE_TO_AUTO_COMMIT = 1000000;
@UsedForTesting
public static final String UNIGRAM_COUNT_QUERY = "UNIGRAM_COUNT";
@ -343,18 +343,7 @@ public final class BinaryDictionary extends Dictionary {
@Override
public boolean shouldAutoCommit(final SuggestedWordInfo candidate) {
// TODO: actually use the confidence rather than use this completely broken heuristic
final String word = candidate.mWord;
final int length = word.length();
int remainingSpaces = SPACE_COUNT_FOR_AUTO_COMMIT;
for (int i = 0; i < length; ++i) {
// This is okay because no low-surrogate and no high-surrogate can ever match the
// space character, so we don't need to take care of iterating on code points.
if (Constants.CODE_SPACE == word.charAt(i)) {
if (0 >= --remainingSpaces) return true;
}
}
return false;
return candidate.mAutoCommitFirstWordConfidence > CONFIDENCE_TO_AUTO_COMMIT;
}
@Override

12
native/jni/src/defines.h
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@ -298,9 +298,19 @@ static inline void prof_out(void) {
#define NOT_AN_INDEX (-1)
#define NOT_A_PROBABILITY (-1)
#define NOT_A_DICT_POS (S_INT_MIN)
// A special value to mean the first word confidence makes no sense in this case,
// e.g. this is not a multi-word suggestion.
#define NOT_A_FIRST_WORD_CONFIDENCE (S_INT_MIN)
#define NOT_A_FIRST_WORD_CONFIDENCE (S_INT_MAX)
// How high the confidence needs to be for us to auto-commit. Arbitrary.
// This needs to be the same as CONFIDENCE_FOR_AUTO_COMMIT in BinaryDictionary.java
#define CONFIDENCE_FOR_AUTO_COMMIT (1000000)
// 80% of the full confidence
#define DISTANCE_WEIGHT_FOR_AUTO_COMMIT (80 * CONFIDENCE_FOR_AUTO_COMMIT / 100)
// 100% of the full confidence
#define LENGTH_WEIGHT_FOR_AUTO_COMMIT (CONFIDENCE_FOR_AUTO_COMMIT)
// 80% of the full confidence
#define SPACE_COUNT_WEIGHT_FOR_AUTO_COMMIT (80 * CONFIDENCE_FOR_AUTO_COMMIT / 100)
#define KEYCODE_SPACE ' '
#define KEYCODE_SINGLE_QUOTE '\''

10
native/jni/src/suggest/core/dicnode/dic_node.h
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@ -321,6 +321,16 @@ class DicNode {
DUMP_WORD_AND_SCORE("OUTPUT");
}
// "Total" in this context (and other methods in this class) means the whole suggestion. When
// this represents a multi-word suggestion, the referenced PtNode (in mDicNodeState) is only
// the one that corresponds to the last word of the suggestion, and all the previous words
// are concatenated together in mPrevWord - which contains a space at the end.
int getTotalNodeSpaceCount() const {
if (isFirstWord()) return 0;
return CharUtils::getSpaceCount(mDicNodeState.mDicNodeStatePrevWord.mPrevWord,
mDicNodeState.mDicNodeStatePrevWord.getPrevWordLength());
}
int getSecondWordFirstInputIndex(const ProximityInfoState *const pInfoState) const {
const int inputIndex = mDicNodeState.mDicNodeStatePrevWord.getSecondWordFirstInputIndex();
if (inputIndex == NOT_AN_INDEX) {

58
native/jni/src/suggest/core/suggest.cpp
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@ -166,7 +166,11 @@ int Suggest::outputSuggestions(DicTraverseSession *traverseSession, int *frequen
// TODO: have partial commit work even with multiple pointers.
const bool outputSecondWordFirstLetterInputIndex =
traverseSession->isOnlyOnePointerUsed(0 /* pointerId */);
outputAutoCommitFirstWordConfidence[0] = computeFirstWordConfidence();
if (terminalSize > 0) {
// If we have no suggestions, don't write this
outputAutoCommitFirstWordConfidence[0] =
computeFirstWordConfidence(&terminals[0]);
}
// Output suggestion results here
for (int terminalIndex = 0; terminalIndex < terminalSize && outputWordIndex < MAX_RESULTS;
@ -255,9 +259,55 @@ int Suggest::outputSuggestions(DicTraverseSession *traverseSession, int *frequen
return outputWordIndex;
}
int Suggest::computeFirstWordConfidence() const {
// TODO: implement this.
return NOT_A_FIRST_WORD_CONFIDENCE;
int Suggest::computeFirstWordConfidence(const DicNode *const terminalDicNode) const {
// Get the number of spaces in the first suggestion
const int spaceCount = terminalDicNode->getTotalNodeSpaceCount();
// Get the number of characters in the first suggestion
const int length = terminalDicNode->getTotalNodeCodePointCount();
// Get the distance for the first word of the suggestion
const float distance = terminalDicNode->getNormalizedCompoundDistanceAfterFirstWord();
// Arbitrarily, we give a score whose useful values range from 0 to 1,000,000.
// 1,000,000 will be the cutoff to auto-commit. It's fine if the number is under 0 or
// above 1,000,000 : under 0 just means it's very bad to commit, and above 1,000,000 means
// we are very confident.
// Expected space count is 1 ~ 5
static const int MIN_EXPECTED_SPACE_COUNT = 1;
static const int MAX_EXPECTED_SPACE_COUNT = 5;
// Expected length is about 4 ~ 30
static const int MIN_EXPECTED_LENGTH = 4;
static const int MAX_EXPECTED_LENGTH = 30;
// Expected distance is about 0.2 ~ 2.0, but consider 0.0 ~ 2.0
static const float MIN_EXPECTED_DISTANCE = 0.0;
static const float MAX_EXPECTED_DISTANCE = 2.0;
// This is not strict: it's where most stuff will be falling, but it's still fine if it's
// outside these values. We want to output a value that reflects all of these. Each factor
// contributes a bit.
// We need at least a space.
if (spaceCount < 1) return NOT_A_FIRST_WORD_CONFIDENCE;
// The smaller the edit distance, the higher the contribution. MIN_EXPECTED_DISTANCE means 0
// contribution, while MAX_EXPECTED_DISTANCE means full contribution according to the
// weight of the distance. Clamp to avoid overflows.
const float clampedDistance = distance < MIN_EXPECTED_DISTANCE ? MIN_EXPECTED_DISTANCE
: distance > MAX_EXPECTED_DISTANCE ? MAX_EXPECTED_DISTANCE : distance;
const int distanceContribution = DISTANCE_WEIGHT_FOR_AUTO_COMMIT
* (MAX_EXPECTED_DISTANCE - clampedDistance)
/ (MAX_EXPECTED_DISTANCE - MIN_EXPECTED_DISTANCE);
// The larger the suggestion length, the larger the contribution. MIN_EXPECTED_LENGTH is no
// contribution, MAX_EXPECTED_LENGTH is full contribution according to the weight of the
// length. Length is guaranteed to be between 1 and 48, so we don't need to clamp.
const int lengthContribution = LENGTH_WEIGHT_FOR_AUTO_COMMIT
* (length - MIN_EXPECTED_LENGTH) / (MAX_EXPECTED_LENGTH - MIN_EXPECTED_LENGTH);
// The more spaces, the larger the contribution. MIN_EXPECTED_SPACE_COUNT space is no
// contribution, MAX_EXPECTED_SPACE_COUNT spaces is full contribution according to the
// weight of the space count.
const int spaceContribution = SPACE_COUNT_WEIGHT_FOR_AUTO_COMMIT
* (spaceCount - MIN_EXPECTED_SPACE_COUNT)
/ (MAX_EXPECTED_SPACE_COUNT - MIN_EXPECTED_SPACE_COUNT);
return distanceContribution + lengthContribution + spaceContribution;
}
/**

2
native/jni/src/suggest/core/suggest.h
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@ -58,7 +58,7 @@ class Suggest : public SuggestInterface {
int outputSuggestions(DicTraverseSession *traverseSession, int *frequencies,
int *outputCodePoints, int *outputIndicesToPartialCommit, int *outputTypes,
int *outputAutoCommitFirstWordConfidence) const;
int computeFirstWordConfidence() const;
int computeFirstWordConfidence(const DicNode *const terminalDicNode) const;
void initializeSearch(DicTraverseSession *traverseSession, int commitPoint) const;
void expandCurrentDicNodes(DicTraverseSession *traverseSession) const;
void processTerminalDicNode(DicTraverseSession *traverseSession, DicNode *dicNode) const;

10
native/jni/src/utils/char_utils.h
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@ -75,6 +75,16 @@ class CharUtils {
return c;
}
static AK_FORCE_INLINE int getSpaceCount(const int *const codePointBuffer, const int length) {
int spaceCount = 0;
for (int i = 0; i < length; ++i) {
if (codePointBuffer[i] == KEYCODE_SPACE) {
++spaceCount;
}
}
return spaceCount;
}
static unsigned short latin_tolower(const unsigned short c);
private: