Merge "Don't resume suggestion on digits."
diff --git a/java/src/com/android/inputmethod/latin/AbstractDictionaryWriter.java b/java/src/com/android/inputmethod/latin/AbstractDictionaryWriter.java
index 55df263..845a9b9 100644
--- a/java/src/com/android/inputmethod/latin/AbstractDictionaryWriter.java
+++ b/java/src/com/android/inputmethod/latin/AbstractDictionaryWriter.java
@@ -58,7 +58,7 @@
         final File file = new File(mContext.getFilesDir(), fileName);
         final File tempFile = new File(mContext.getFilesDir(), tempFileName);
         try {
-            final DictEncoder dictEncoder = new Ver3DictEncoder(file);
+            final DictEncoder dictEncoder = new Ver3DictEncoder(tempFile);
             writeDictionary(dictEncoder);
             tempFile.renameTo(file);
         } catch (IOException e) {
diff --git a/java/src/com/android/inputmethod/latin/BinaryDictionary.java b/java/src/com/android/inputmethod/latin/BinaryDictionary.java
index b49cd80..632ee0d 100644
--- a/java/src/com/android/inputmethod/latin/BinaryDictionary.java
+++ b/java/src/com/android/inputmethod/latin/BinaryDictionary.java
@@ -109,7 +109,7 @@
     private static native void flushWithGCNative(long dict, String filePath);
     private static native void closeNative(long dict);
     private static native int getProbabilityNative(long dict, int[] word);
-    private static native boolean isValidBigramNative(long dict, int[] word0, int[] word1);
+    private static native int getBigramProbabilityNative(long dict, int[] word0, int[] word1);
     private static native int getSuggestionsNative(long dict, long proximityInfo,
             long traverseSession, int[] xCoordinates, int[] yCoordinates, int[] times,
             int[] pointerIds, int[] inputCodePoints, int inputSize, int commitPoint,
@@ -122,6 +122,8 @@
     private static native void addBigramWordsNative(long dict, int[] word0, int[] word1,
             int probability);
     private static native void removeBigramWordsNative(long dict, int[] word0, int[] word1);
+    private static native int calculateProbabilityNative(long dict, int unigramProbability,
+            int bigramProbability);
 
     // TODO: Move native dict into session
     private final void loadDictionary(final String path, final long startOffset,
@@ -219,12 +221,12 @@
 
     @Override
     public boolean isValidWord(final String word) {
-        return getFrequency(word) >= 0;
+        return getFrequency(word) != NOT_A_PROBABILITY;
     }
 
     @Override
     public int getFrequency(final String word) {
-        if (word == null) return -1;
+        if (word == null) return NOT_A_PROBABILITY;
         int[] codePoints = StringUtils.toCodePointArray(word);
         return getProbabilityNative(mNativeDict, codePoints);
     }
@@ -232,10 +234,14 @@
     // TODO: Add a batch process version (isValidBigramMultiple?) to avoid excessive numbers of jni
     // calls when checking for changes in an entire dictionary.
     public boolean isValidBigram(final String word0, final String word1) {
-        if (TextUtils.isEmpty(word0) || TextUtils.isEmpty(word1)) return false;
+        return getBigramProbability(word0, word1) != NOT_A_PROBABILITY;
+    }
+
+    public int getBigramProbability(final String word0, final String word1) {
+        if (TextUtils.isEmpty(word0) || TextUtils.isEmpty(word1)) return NOT_A_PROBABILITY;
         final int[] codePoints0 = StringUtils.toCodePointArray(word0);
         final int[] codePoints1 = StringUtils.toCodePointArray(word1);
-        return isValidBigramNative(mNativeDict, codePoints0, codePoints1);
+        return getBigramProbabilityNative(mNativeDict, codePoints0, codePoints1);
     }
 
     // Add a unigram entry to binary dictionary in native code.
@@ -285,6 +291,12 @@
         return needsToRunGCNative(mNativeDict);
     }
 
+    @UsedForTesting
+    public int calculateProbability(final int unigramProbability, final int bigramProbability) {
+        if (!isValidDictionary()) return NOT_A_PROBABILITY;
+        return calculateProbabilityNative(mNativeDict, unigramProbability, bigramProbability);
+    }
+
     @Override
     public boolean shouldAutoCommit(final SuggestedWordInfo candidate) {
         // TODO: actually use the confidence rather than use this completely broken heuristic
diff --git a/java/src/com/android/inputmethod/latin/Suggest.java b/java/src/com/android/inputmethod/latin/Suggest.java
index 7815f4d..1684d47 100644
--- a/java/src/com/android/inputmethod/latin/Suggest.java
+++ b/java/src/com/android/inputmethod/latin/Suggest.java
@@ -460,7 +460,7 @@
     private static final SuggestedWordInfoComparator sSuggestedWordInfoComparator =
             new SuggestedWordInfoComparator();
 
-    private static SuggestedWordInfo getTransformedSuggestedWordInfo(
+    /* package for test */ static SuggestedWordInfo getTransformedSuggestedWordInfo(
             final SuggestedWordInfo wordInfo, final Locale locale, final boolean isAllUpperCase,
             final boolean isFirstCharCapitalized, final int trailingSingleQuotesCount) {
         final StringBuilder sb = new StringBuilder(wordInfo.mWord.length());
@@ -471,7 +471,12 @@
         } else {
             sb.append(wordInfo.mWord);
         }
-        for (int i = trailingSingleQuotesCount - 1; i >= 0; --i) {
+        // Appending quotes is here to help people quote words. However, it's not helpful
+        // when they type words with quotes toward the end like "it's" or "didn't", where
+        // it's more likely the user missed the last character (or didn't type it yet).
+        final int quotesToAppend = trailingSingleQuotesCount
+                - (-1 == wordInfo.mWord.indexOf(Constants.CODE_SINGLE_QUOTE) ? 0 : 1);
+        for (int i = quotesToAppend - 1; i >= 0; --i) {
             sb.appendCodePoint(Constants.CODE_SINGLE_QUOTE);
         }
         return new SuggestedWordInfo(sb.toString(), wordInfo.mScore, wordInfo.mKind,
diff --git a/native/jni/com_android_inputmethod_latin_BinaryDictionary.cpp b/native/jni/com_android_inputmethod_latin_BinaryDictionary.cpp
index a63fab6..7f47493 100644
--- a/native/jni/com_android_inputmethod_latin_BinaryDictionary.cpp
+++ b/native/jni/com_android_inputmethod_latin_BinaryDictionary.cpp
@@ -188,8 +188,8 @@
     return dictionary->getProbability(codePoints, wordLength);
 }
 
-static jboolean latinime_BinaryDictionary_isValidBigram(JNIEnv *env, jclass clazz, jlong dict,
-        jintArray word0, jintArray word1) {
+static jint latinime_BinaryDictionary_getBigramProbability(JNIEnv *env, jclass clazz,
+        jlong dict, jintArray word0, jintArray word1) {
     Dictionary *dictionary = reinterpret_cast<Dictionary *>(dict);
     if (!dictionary) return JNI_FALSE;
     const jsize word0Length = env->GetArrayLength(word0);
@@ -198,7 +198,8 @@
     int word1CodePoints[word1Length];
     env->GetIntArrayRegion(word0, 0, word0Length, word0CodePoints);
     env->GetIntArrayRegion(word1, 0, word1Length, word1CodePoints);
-    return dictionary->isValidBigram(word0CodePoints, word0Length, word1CodePoints, word1Length);
+    return dictionary->getBigramProbability(word0CodePoints, word0Length, word1CodePoints,
+            word1Length);
 }
 
 static jfloat latinime_BinaryDictionary_calcNormalizedScore(JNIEnv *env, jclass clazz,
@@ -269,6 +270,16 @@
             word1Length);
 }
 
+static int latinime_BinaryDictionary_calculateProbabilityNative(JNIEnv *env, jclass clazz,
+        jlong dict, jint unigramProbability, jint bigramProbability) {
+    Dictionary *dictionary = reinterpret_cast<Dictionary *>(dict);
+    if (!dictionary) {
+        return NOT_A_PROBABILITY;
+    }
+    return dictionary->getDictionaryStructurePolicy()->getProbability(unigramProbability,
+            bigramProbability);
+}
+
 static const JNINativeMethod sMethods[] = {
     {
         const_cast<char *>("openNative"),
@@ -306,9 +317,9 @@
         reinterpret_cast<void *>(latinime_BinaryDictionary_getProbability)
     },
     {
-        const_cast<char *>("isValidBigramNative"),
-        const_cast<char *>("(J[I[I)Z"),
-        reinterpret_cast<void *>(latinime_BinaryDictionary_isValidBigram)
+        const_cast<char *>("getBigramProbabilityNative"),
+        const_cast<char *>("(J[I[I)I"),
+        reinterpret_cast<void *>(latinime_BinaryDictionary_getBigramProbability)
     },
     {
         const_cast<char *>("calcNormalizedScoreNative"),
@@ -334,6 +345,11 @@
         const_cast<char *>("removeBigramWordsNative"),
         const_cast<char *>("(J[I[I)V"),
         reinterpret_cast<void *>(latinime_BinaryDictionary_removeBigramWords)
+    },
+    {
+        const_cast<char *>("calculateProbabilityNative"),
+        const_cast<char *>("(JII)I"),
+        reinterpret_cast<void *>(latinime_BinaryDictionary_calculateProbabilityNative)
     }
 };
 
diff --git a/native/jni/src/suggest/core/dicnode/dic_node.h b/native/jni/src/suggest/core/dicnode/dic_node.h
index 3770153..41ef9d2 100644
--- a/native/jni/src/suggest/core/dicnode/dic_node.h
+++ b/native/jni/src/suggest/core/dicnode/dic_node.h
@@ -143,7 +143,7 @@
                 dicNode->mDicNodeState.mDicNodeStatePrevWord.getPrevWordLength(),
                 dicNode->getOutputWordBuf(),
                 dicNode->mDicNodeProperties.getDepth(),
-                dicNode->mDicNodeState.mDicNodeStatePrevWord.mPrevSpacePositions,
+                dicNode->mDicNodeState.mDicNodeStatePrevWord.getSecondWordFirstInputIndex(),
                 mDicNodeState.mDicNodeStateInput.getInputIndex(0) /* lastInputIndex */);
         PROF_NODE_COPY(&dicNode->mProfiler, mProfiler);
     }
@@ -321,8 +321,13 @@
         DUMP_WORD_AND_SCORE("OUTPUT");
     }
 
-    void outputSpacePositionsResult(int *spaceIndices) const {
-        mDicNodeState.mDicNodeStatePrevWord.outputSpacePositions(spaceIndices);
+    int getSecondWordFirstInputIndex(const ProximityInfoState *const pInfoState) const {
+        const int inputIndex = mDicNodeState.mDicNodeStatePrevWord.getSecondWordFirstInputIndex();
+        if (inputIndex == NOT_AN_INDEX) {
+            return NOT_AN_INDEX;
+        } else {
+            return pInfoState->getInputIndexOfSampledPoint(inputIndex);
+        }
     }
 
     bool hasMultipleWords() const {
@@ -573,7 +578,11 @@
         }
     }
 
-    AK_FORCE_INLINE void updateInputIndexG(DicNode_InputStateG *inputStateG) {
+    AK_FORCE_INLINE void updateInputIndexG(const DicNode_InputStateG *const inputStateG) {
+        if (mDicNodeState.mDicNodeStatePrevWord.getPrevWordCount() == 1 && isFirstLetter()) {
+            mDicNodeState.mDicNodeStatePrevWord.setSecondWordFirstInputIndex(
+                    inputStateG->mInputIndex);
+        }
         mDicNodeState.mDicNodeStateInput.updateInputIndexG(inputStateG->mPointerId,
                 inputStateG->mInputIndex, inputStateG->mPrevCodePoint,
                 inputStateG->mTerminalDiffCost, inputStateG->mRawLength);
diff --git a/native/jni/src/suggest/core/dicnode/internal/dic_node_state_prevword.h b/native/jni/src/suggest/core/dicnode/internal/dic_node_state_prevword.h
index b7af970..b898620 100644
--- a/native/jni/src/suggest/core/dicnode/internal/dic_node_state_prevword.h
+++ b/native/jni/src/suggest/core/dicnode/internal/dic_node_state_prevword.h
@@ -22,6 +22,7 @@
 
 #include "defines.h"
 #include "suggest/core/dicnode/dic_node_utils.h"
+#include "suggest/core/layout/proximity_info_state.h"
 
 namespace latinime {
 
@@ -29,9 +30,8 @@
  public:
     AK_FORCE_INLINE DicNodeStatePrevWord()
             : mPrevWordCount(0), mPrevWordLength(0), mPrevWordStart(0), mPrevWordProbability(0),
-              mPrevWordNodePos(NOT_A_DICT_POS) {
+              mPrevWordNodePos(NOT_A_DICT_POS), mSecondWordFirstInputIndex(NOT_AN_INDEX) {
         memset(mPrevWord, 0, sizeof(mPrevWord));
-        memset(mPrevSpacePositions, 0, sizeof(mPrevSpacePositions));
     }
 
     virtual ~DicNodeStatePrevWord() {}
@@ -42,7 +42,7 @@
         mPrevWordStart = 0;
         mPrevWordProbability = -1;
         mPrevWordNodePos = NOT_A_DICT_POS;
-        memset(mPrevSpacePositions, 0, sizeof(mPrevSpacePositions));
+        mSecondWordFirstInputIndex = NOT_AN_INDEX;
     }
 
     void init(const int prevWordNodePos) {
@@ -51,7 +51,7 @@
         mPrevWordStart = 0;
         mPrevWordProbability = -1;
         mPrevWordNodePos = prevWordNodePos;
-        memset(mPrevSpacePositions, 0, sizeof(mPrevSpacePositions));
+        mSecondWordFirstInputIndex = NOT_AN_INDEX;
     }
 
     // Init by copy
@@ -61,14 +61,14 @@
         mPrevWordStart = prevWord->mPrevWordStart;
         mPrevWordProbability = prevWord->mPrevWordProbability;
         mPrevWordNodePos = prevWord->mPrevWordNodePos;
+        mSecondWordFirstInputIndex = prevWord->mSecondWordFirstInputIndex;
         memcpy(mPrevWord, prevWord->mPrevWord, prevWord->mPrevWordLength * sizeof(mPrevWord[0]));
-        memcpy(mPrevSpacePositions, prevWord->mPrevSpacePositions, sizeof(mPrevSpacePositions));
     }
 
     void init(const int16_t prevWordCount, const int16_t prevWordProbability,
             const int prevWordNodePos, const int *const src0, const int16_t length0,
-            const int *const src1, const int16_t length1, const int *const prevSpacePositions,
-            const int lastInputIndex) {
+            const int *const src1, const int16_t length1,
+            const int prevWordSecondWordFirstInputIndex, const int lastInputIndex) {
         mPrevWordCount = min(prevWordCount, static_cast<int16_t>(MAX_RESULTS));
         mPrevWordProbability = prevWordProbability;
         mPrevWordNodePos = prevWordNodePos;
@@ -80,8 +80,7 @@
         mPrevWord[twoWordsLen] = KEYCODE_SPACE;
         mPrevWordStart = length0;
         mPrevWordLength = static_cast<int16_t>(twoWordsLen + 1);
-        memcpy(mPrevSpacePositions, prevSpacePositions, sizeof(mPrevSpacePositions));
-        mPrevSpacePositions[mPrevWordCount - 1] = lastInputIndex;
+        mSecondWordFirstInputIndex = prevWordSecondWordFirstInputIndex;
     }
 
     void truncate(const int offset) {
@@ -96,11 +95,12 @@
         mPrevWordLength = newPrevWordLength;
     }
 
-    void outputSpacePositions(int *spaceIndices) const {
-        // Convert uint16_t to int
-        for (int i = 0; i < MAX_RESULTS; i++) {
-            spaceIndices[i] = mPrevSpacePositions[i];
-        }
+    void setSecondWordFirstInputIndex(const int inputIndex) {
+        mSecondWordFirstInputIndex = inputIndex;
+    }
+
+    int getSecondWordFirstInputIndex() const {
+        return mSecondWordFirstInputIndex;
     }
 
     // TODO: remove
@@ -138,8 +138,6 @@
 
     // TODO: Move to private
     int mPrevWord[MAX_WORD_LENGTH];
-    // TODO: Move to private
-    int mPrevSpacePositions[MAX_RESULTS];
 
  private:
     // Caution!!!
@@ -150,6 +148,7 @@
     int16_t mPrevWordStart;
     int16_t mPrevWordProbability;
     int mPrevWordNodePos;
+    int mSecondWordFirstInputIndex;
 };
 } // namespace latinime
 #endif // LATINIME_DIC_NODE_STATE_PREVWORD_H
diff --git a/native/jni/src/suggest/core/dictionary/bigram_dictionary.cpp b/native/jni/src/suggest/core/dictionary/bigram_dictionary.cpp
index 425b076..5ba71c1 100644
--- a/native/jni/src/suggest/core/dictionary/bigram_dictionary.cpp
+++ b/native/jni/src/suggest/core/dictionary/bigram_dictionary.cpp
@@ -150,24 +150,26 @@
     return mDictionaryStructurePolicy->getBigramsPositionOfNode(pos);
 }
 
-bool BigramDictionary::isValidBigram(const int *word0, int length0, const int *word1,
+int BigramDictionary::getBigramProbability(const int *word0, int length0, const int *word1,
         int length1) const {
     int pos = getBigramListPositionForWord(word0, length0, false /* forceLowerCaseSearch */);
     // getBigramListPositionForWord returns 0 if this word isn't in the dictionary or has no bigrams
-    if (NOT_A_DICT_POS == pos) return false;
+    if (NOT_A_DICT_POS == pos) return NOT_A_PROBABILITY;
     int nextWordPos = mDictionaryStructurePolicy->getTerminalNodePositionOfWord(word1, length1,
             false /* forceLowerCaseSearch */);
-    if (NOT_A_DICT_POS == nextWordPos) return false;
+    if (NOT_A_DICT_POS == nextWordPos) return NOT_A_PROBABILITY;
 
     BinaryDictionaryBigramsIterator bigramsIt(
             mDictionaryStructurePolicy->getBigramsStructurePolicy(), pos);
     while (bigramsIt.hasNext()) {
         bigramsIt.next();
         if (bigramsIt.getBigramPos() == nextWordPos) {
-            return true;
+            return mDictionaryStructurePolicy->getProbability(
+                    mDictionaryStructurePolicy->getUnigramProbabilityOfPtNode(nextWordPos),
+                    bigramsIt.getProbability());
         }
     }
-    return false;
+    return NOT_A_PROBABILITY;
 }
 
 // TODO: Move functions related to bigram to here
diff --git a/native/jni/src/suggest/core/dictionary/bigram_dictionary.h b/native/jni/src/suggest/core/dictionary/bigram_dictionary.h
index 99b964c..8af7ee7 100644
--- a/native/jni/src/suggest/core/dictionary/bigram_dictionary.h
+++ b/native/jni/src/suggest/core/dictionary/bigram_dictionary.h
@@ -29,7 +29,7 @@
 
     int getPredictions(const int *word, int length, int *outBigramCodePoints,
             int *outBigramProbability, int *outputTypes) const;
-    bool isValidBigram(const int *word1, int length1, const int *word2, int length2) const;
+    int getBigramProbability(const int *word1, int length1, const int *word2, int length2) const;
     ~BigramDictionary();
 
  private:
diff --git a/native/jni/src/suggest/core/dictionary/dictionary.cpp b/native/jni/src/suggest/core/dictionary/dictionary.cpp
index 0335722..ec1b63a 100644
--- a/native/jni/src/suggest/core/dictionary/dictionary.cpp
+++ b/native/jni/src/suggest/core/dictionary/dictionary.cpp
@@ -93,8 +93,9 @@
     return getDictionaryStructurePolicy()->getUnigramProbabilityOfPtNode(pos);
 }
 
-bool Dictionary::isValidBigram(const int *word0, int length0, const int *word1, int length1) const {
-    return mBigramDictionary->isValidBigram(word0, length0, word1, length1);
+int Dictionary::getBigramProbability(const int *word0, int length0, const int *word1,
+        int length1) const {
+    return mBigramDictionary->getBigramProbability(word0, length0, word1, length1);
 }
 
 void Dictionary::addUnigramWord(const int *const word, const int length, const int probability) {
diff --git a/native/jni/src/suggest/core/dictionary/dictionary.h b/native/jni/src/suggest/core/dictionary/dictionary.h
index 06e84bb..9744474 100644
--- a/native/jni/src/suggest/core/dictionary/dictionary.h
+++ b/native/jni/src/suggest/core/dictionary/dictionary.h
@@ -67,7 +67,7 @@
 
     int getProbability(const int *word, int length) const;
 
-    bool isValidBigram(const int *word0, int length0, const int *word1, int length1) const;
+    int getBigramProbability(const int *word0, int length0, const int *word1, int length1) const;
 
     void addUnigramWord(const int *const word, const int length, const int probability);
 
diff --git a/native/jni/src/suggest/core/layout/proximity_info_state.h b/native/jni/src/suggest/core/layout/proximity_info_state.h
index 01bf818..c94060f 100644
--- a/native/jni/src/suggest/core/layout/proximity_info_state.h
+++ b/native/jni/src/suggest/core/layout/proximity_info_state.h
@@ -130,6 +130,10 @@
         return mSampledInputYs[index];
     }
 
+    int getInputIndexOfSampledPoint(const int sampledIndex) const {
+        return mSampledInputIndice[sampledIndex];
+    }
+
     bool hasSpaceProximity(const int index) const;
 
     int getLengthCache(const int index) const {
diff --git a/native/jni/src/suggest/core/session/dic_traverse_session.h b/native/jni/src/suggest/core/session/dic_traverse_session.h
index e2ef5fc..e0b1c67 100644
--- a/native/jni/src/suggest/core/session/dic_traverse_session.h
+++ b/native/jni/src/suggest/core/session/dic_traverse_session.h
@@ -113,7 +113,9 @@
         if (usedPointerCount != 1) {
             return false;
         }
-        *pointerId = usedPointerId;
+        if (pointerId) {
+            *pointerId = usedPointerId;
+        }
         return true;
     }
 
diff --git a/native/jni/src/suggest/core/suggest.cpp b/native/jni/src/suggest/core/suggest.cpp
index e788e91..0c925be 100644
--- a/native/jni/src/suggest/core/suggest.cpp
+++ b/native/jni/src/suggest/core/suggest.cpp
@@ -117,7 +117,7 @@
  * Outputs the final list of suggestions (i.e., terminal nodes).
  */
 int Suggest::outputSuggestions(DicTraverseSession *traverseSession, int *frequencies,
-        int *outputCodePoints, int *spaceIndices, int *outputTypes) const {
+        int *outputCodePoints, int *outputIndicesToPartialCommit, int *outputTypes) const {
 #if DEBUG_EVALUATE_MOST_PROBABLE_STRING
     const int terminalSize = 0;
 #else
@@ -139,6 +139,7 @@
             SCORING->getMostProbableString(traverseSession, terminalSize, languageWeight,
                     &outputCodePoints[0], &outputTypes[0], &frequencies[0]);
     if (hasMostProbableString) {
+        outputIndicesToPartialCommit[outputWordIndex] = NOT_AN_INDEX;
         ++outputWordIndex;
     }
 
@@ -160,6 +161,9 @@
                             || (traverseSession->getInputSize()
                                     >= MIN_LEN_FOR_MULTI_WORD_AUTOCORRECT
                                             && terminals[0].hasMultipleWords())) : false;
+    // TODO: have partial commit work even with multiple pointers.
+    const bool outputSecondWordFirstLetterInputIndex =
+            traverseSession->isOnlyOnePointerUsed(0 /* pointerId */);
     // Output suggestion results here
     for (int terminalIndex = 0; terminalIndex < terminalSize && outputWordIndex < MAX_RESULTS;
             ++terminalIndex) {
@@ -194,18 +198,21 @@
                 terminalDicNode->isExactMatch()
                         || (forceCommitMultiWords && terminalDicNode->hasMultipleWords())
                                 || (isValidWord && SCORING->doesAutoCorrectValidWord()));
-        maxScore = max(maxScore, finalScore);
-
-        // TODO: Implement a smarter auto-commit method for handling multi-word suggestions.
-        // Index for top typing suggestion should be 0.
-        if (isValidWord && outputWordIndex == 0) {
-            terminalDicNode->outputSpacePositionsResult(spaceIndices);
+        if (maxScore < finalScore && isValidWord) {
+            maxScore = finalScore;
         }
 
         // Don't output invalid words. However, we still need to submit their shortcuts if any.
         if (isValidWord) {
             outputTypes[outputWordIndex] = Dictionary::KIND_CORRECTION | outputTypeFlags;
             frequencies[outputWordIndex] = finalScore;
+            if (outputSecondWordFirstLetterInputIndex) {
+                outputIndicesToPartialCommit[outputWordIndex] =
+                        terminalDicNode->getSecondWordFirstInputIndex(
+                                traverseSession->getProximityInfoState(0));
+            } else {
+                outputIndicesToPartialCommit[outputWordIndex] = NOT_AN_INDEX;
+            }
             // Populate the outputChars array with the suggested word.
             const int startIndex = outputWordIndex * MAX_WORD_LENGTH;
             terminalDicNode->outputResult(&outputCodePoints[startIndex]);
@@ -220,8 +227,19 @@
             // Shortcut is not supported for multiple words suggestions.
             // TODO: Check shortcuts during traversal for multiple words suggestions.
             const bool sameAsTyped = TRAVERSAL->sameAsTyped(traverseSession, terminalDicNode);
-            outputWordIndex = ShortcutUtils::outputShortcuts(&shortcutIt, outputWordIndex,
-                    finalScore, outputCodePoints, frequencies, outputTypes, sameAsTyped);
+            const int updatedOutputWordIndex = ShortcutUtils::outputShortcuts(&shortcutIt,
+                    outputWordIndex,  finalScore, outputCodePoints, frequencies, outputTypes,
+                    sameAsTyped);
+            const int secondWordFirstInputIndex = terminalDicNode->getSecondWordFirstInputIndex(
+                    traverseSession->getProximityInfoState(0));
+            for (int i = outputWordIndex; i < updatedOutputWordIndex; ++i) {
+                if (outputSecondWordFirstLetterInputIndex) {
+                    outputIndicesToPartialCommit[i] = secondWordFirstInputIndex;
+                } else {
+                    outputIndicesToPartialCommit[i] = NOT_AN_INDEX;
+                }
+            }
+            outputWordIndex = updatedOutputWordIndex;
         }
         DicNode::managedDelete(terminalDicNode);
     }
diff --git a/native/jni/src/suggest/core/suggest.h b/native/jni/src/suggest/core/suggest.h
index 875cbe4..b240196 100644
--- a/native/jni/src/suggest/core/suggest.h
+++ b/native/jni/src/suggest/core/suggest.h
@@ -55,7 +55,7 @@
     void createNextWordDicNode(DicTraverseSession *traverseSession, DicNode *dicNode,
             const bool spaceSubstitution) const;
     int outputSuggestions(DicTraverseSession *traverseSession, int *frequencies,
-            int *outputCodePoints, int *outputIndices, int *outputTypes) const;
+            int *outputCodePoints, int *outputIndicesToPartialCommit, int *outputTypes) const;
     void initializeSearch(DicTraverseSession *traverseSession, int commitPoint) const;
     void expandCurrentDicNodes(DicTraverseSession *traverseSession) const;
     void processTerminalDicNode(DicTraverseSession *traverseSession, DicNode *dicNode) const;
diff --git a/native/jni/src/suggest/policyimpl/dictionary/dynamic_patricia_trie_policy.cpp b/native/jni/src/suggest/policyimpl/dictionary/dynamic_patricia_trie_policy.cpp
index 3cfbfd8..2198a13 100644
--- a/native/jni/src/suggest/policyimpl/dictionary/dynamic_patricia_trie_policy.cpp
+++ b/native/jni/src/suggest/policyimpl/dictionary/dynamic_patricia_trie_policy.cpp
@@ -248,7 +248,9 @@
         AKLOGI("Warning: flush() is called for non-updatable dictionary.");
         return;
     }
-    // TODO: Implement.
+    DynamicPatriciaTrieWritingHelper writingHelper(&mBufferWithExtendableBuffer,
+            &mBigramListPolicy, &mShortcutListPolicy);
+    writingHelper.writeToDictFile(filePath, mBuffer->getBuffer(), mHeaderPolicy.getSize());
 }
 
 void DynamicPatriciaTriePolicy::flushWithGC(const char *const filePath) {
diff --git a/native/jni/src/suggest/policyimpl/dictionary/dynamic_patricia_trie_writing_helper.cpp b/native/jni/src/suggest/policyimpl/dictionary/dynamic_patricia_trie_writing_helper.cpp
index 311d31e..a67c0d9 100644
--- a/native/jni/src/suggest/policyimpl/dictionary/dynamic_patricia_trie_writing_helper.cpp
+++ b/native/jni/src/suggest/policyimpl/dictionary/dynamic_patricia_trie_writing_helper.cpp
@@ -16,6 +16,9 @@
 
 #include "suggest/policyimpl/dictionary/dynamic_patricia_trie_writing_helper.h"
 
+#include <cstdio>
+#include <cstring>
+
 #include "suggest/policyimpl/dictionary/bigram/dynamic_bigram_list_policy.h"
 #include "suggest/policyimpl/dictionary/dynamic_patricia_trie_node_reader.h"
 #include "suggest/policyimpl/dictionary/dynamic_patricia_trie_reading_helper.h"
@@ -27,6 +30,8 @@
 namespace latinime {
 
 const int DynamicPatriciaTrieWritingHelper::CHILDREN_POSITION_FIELD_SIZE = 3;
+const char *const DynamicPatriciaTrieWritingHelper::TEMP_FILE_SUFFIX_FOR_WRITING_DICT_FILE =
+        ".tmp";
 
 bool DynamicPatriciaTrieWritingHelper::addUnigramWord(
         DynamicPatriciaTrieReadingHelper *const readingHelper,
@@ -131,6 +136,41 @@
     return mBigramPolicy->removeBigram(nodeReader.getBigramsPos(), word1Pos);
 }
 
+void DynamicPatriciaTrieWritingHelper::writeToDictFile(const char *const fileName,
+        const uint8_t *const headerBuf, const int headerSize) {
+    const int tmpFileNameBufSize = strlen(fileName)
+            + strlen(TEMP_FILE_SUFFIX_FOR_WRITING_DICT_FILE) + 1;
+    char tmpFileName[tmpFileNameBufSize];
+    snprintf(tmpFileName, tmpFileNameBufSize, "%s%s", fileName,
+            TEMP_FILE_SUFFIX_FOR_WRITING_DICT_FILE);
+    FILE *const file = fopen(tmpFileName, "wb");
+    if (!file) {
+        return;
+    }
+    // Write header.
+    if (fwrite(headerBuf, headerSize, 1, file) < 1) {
+        fclose(file);
+        remove(tmpFileName);
+        return;
+    }
+    // Write data in original buffer.
+    if (fwrite(mBuffer->getBuffer(false /* usesAdditionalBuffer */),
+            mBuffer->getOriginalBufferSize(), 1, file) < 1) {
+        fclose(file);
+        remove(tmpFileName);
+        return;
+    }
+    // Write data in additional buffer.
+    if (fwrite(mBuffer->getBuffer(true /* usesAdditionalBuffer */),
+            mBuffer->getTailPosition() - mBuffer->getOriginalBufferSize(), 1, file) < 1) {
+        fclose(file);
+        remove(tmpFileName);
+        return;
+    }
+    fclose(file);
+    rename(tmpFileName, fileName);
+}
+
 bool DynamicPatriciaTrieWritingHelper::markNodeAsMovedAndSetPosition(
         const DynamicPatriciaTrieNodeReader *const originalNode, const int movedPos,
         const int bigramLinkedNodePos) {
diff --git a/native/jni/src/suggest/policyimpl/dictionary/dynamic_patricia_trie_writing_helper.h b/native/jni/src/suggest/policyimpl/dictionary/dynamic_patricia_trie_writing_helper.h
index 20e35ab..faf7a4e 100644
--- a/native/jni/src/suggest/policyimpl/dictionary/dynamic_patricia_trie_writing_helper.h
+++ b/native/jni/src/suggest/policyimpl/dictionary/dynamic_patricia_trie_writing_helper.h
@@ -17,6 +17,8 @@
 #ifndef LATINIME_DYNAMIC_PATRICIA_TRIE_WRITING_HELPER_H
 #define LATINIME_DYNAMIC_PATRICIA_TRIE_WRITING_HELPER_H
 
+#include <stdint.h>
+
 #include "defines.h"
 
 namespace latinime {
@@ -46,10 +48,14 @@
     // Remove a bigram relation from word0Pos to word1Pos.
     bool removeBigramWords(const int word0Pos, const int word1Pos);
 
+    void writeToDictFile(const char *const fileName, const uint8_t *const headerBuf,
+            const int headerSize);
+
  private:
     DISALLOW_IMPLICIT_CONSTRUCTORS(DynamicPatriciaTrieWritingHelper);
 
     static const int CHILDREN_POSITION_FIELD_SIZE;
+    static const char *const TEMP_FILE_SUFFIX_FOR_WRITING_DICT_FILE;
 
     BufferWithExtendableBuffer *const mBuffer;
     DynamicBigramListPolicy *const mBigramPolicy;
diff --git a/tests/src/com/android/inputmethod/latin/BinaryDictionaryTests.java b/tests/src/com/android/inputmethod/latin/BinaryDictionaryTests.java
index 4d231cd..d8105ba 100644
--- a/tests/src/com/android/inputmethod/latin/BinaryDictionaryTests.java
+++ b/tests/src/com/android/inputmethod/latin/BinaryDictionaryTests.java
@@ -151,7 +151,7 @@
         final int[] codePointSet = CodePointUtils.generateCodePointSet(codePointSetSize, random);
         for (int i = 0; i < wordCount; ++i) {
             final String word = CodePointUtils.generateWord(random, codePointSet);
-            probabilityMap.put(word, random.nextInt() & 0xFF);
+            probabilityMap.put(word, random.nextInt(0xFF));
         }
         for (String word : probabilityMap.keySet()) {
             binaryDictionary.addUnigramWord(word, probabilityMap.get(word));
@@ -163,8 +163,6 @@
     }
 
     public void testAddBigramWords() {
-        // TODO: Add a test to check the frequency of the bigram score which uses current value
-        // calculated in the native code
         File dictFile = null;
         try {
             dictFile = createEmptyDictionaryAndGetFile("TestBinaryDictionary");
@@ -179,6 +177,7 @@
 
         final int unigramProbability = 100;
         final int bigramProbability = 10;
+        final int updatedBigramProbability = 15;
         binaryDictionary.addUnigramWord("aaa", unigramProbability);
         binaryDictionary.addUnigramWord("abb", unigramProbability);
         binaryDictionary.addUnigramWord("bcc", unigramProbability);
@@ -187,21 +186,49 @@
         binaryDictionary.addBigramWords("abb", "aaa", bigramProbability);
         binaryDictionary.addBigramWords("abb", "bcc", bigramProbability);
 
+        final int probability = binaryDictionary.calculateProbability(unigramProbability,
+                bigramProbability);
         assertEquals(true, binaryDictionary.isValidBigram("aaa", "abb"));
         assertEquals(true, binaryDictionary.isValidBigram("aaa", "bcc"));
         assertEquals(true, binaryDictionary.isValidBigram("abb", "aaa"));
         assertEquals(true, binaryDictionary.isValidBigram("abb", "bcc"));
+        assertEquals(probability, binaryDictionary.getBigramProbability("aaa", "abb"));
+        assertEquals(probability, binaryDictionary.getBigramProbability("aaa", "bcc"));
+        assertEquals(probability, binaryDictionary.getBigramProbability("abb", "aaa"));
+        assertEquals(probability, binaryDictionary.getBigramProbability("abb", "bcc"));
+
+        binaryDictionary.addBigramWords("aaa", "abb", updatedBigramProbability);
+        final int updatedProbability = binaryDictionary.calculateProbability(unigramProbability,
+                updatedBigramProbability);
+        assertEquals(updatedProbability, binaryDictionary.getBigramProbability("aaa", "abb"));
 
         assertEquals(false, binaryDictionary.isValidBigram("bcc", "aaa"));
         assertEquals(false, binaryDictionary.isValidBigram("bcc", "bbc"));
         assertEquals(false, binaryDictionary.isValidBigram("aaa", "aaa"));
+        assertEquals(Dictionary.NOT_A_PROBABILITY,
+                binaryDictionary.getBigramProbability("bcc", "aaa"));
+        assertEquals(Dictionary.NOT_A_PROBABILITY,
+                binaryDictionary.getBigramProbability("bcc", "bbc"));
+        assertEquals(Dictionary.NOT_A_PROBABILITY,
+                binaryDictionary.getBigramProbability("aaa", "aaa"));
+
+        // Testing bigram link.
+        binaryDictionary.addUnigramWord("abcde", unigramProbability);
+        binaryDictionary.addUnigramWord("fghij", unigramProbability);
+        binaryDictionary.addBigramWords("abcde", "fghij", bigramProbability);
+        binaryDictionary.addUnigramWord("fgh", unigramProbability);
+        binaryDictionary.addUnigramWord("abc", unigramProbability);
+        binaryDictionary.addUnigramWord("f", unigramProbability);
+        assertEquals(probability, binaryDictionary.getBigramProbability("abcde", "fghij"));
+        assertEquals(Dictionary.NOT_A_PROBABILITY,
+                binaryDictionary.getBigramProbability("abcde", "fgh"));
+        binaryDictionary.addBigramWords("abcde", "fghij", updatedBigramProbability);
+        assertEquals(updatedProbability, binaryDictionary.getBigramProbability("abcde", "fghij"));
 
         dictFile.delete();
     }
 
     public void testRandomlyAddBigramWords() {
-        // TODO: Add a test to check the frequency of the bigram score which uses current value
-        // calculated in the native code
         final int wordCount = 100;
         final int bigramCount = 1000;
         final int codePointSetSize = 50;
@@ -222,29 +249,38 @@
         // Test a word that isn't contained within the dictionary.
         final Random random = new Random(seed);
         final int[] codePointSet = CodePointUtils.generateCodePointSet(codePointSetSize, random);
-        final int unigramProbability = 100;
-        final int bigramProbability = 10;
+        final int[] unigramProbabilities = new int[wordCount];
         for (int i = 0; i < wordCount; ++i) {
             final String word = CodePointUtils.generateWord(random, codePointSet);
             words.add(word);
+            final int unigramProbability = random.nextInt(0xFF);
+            unigramProbabilities[i] = unigramProbability;
             binaryDictionary.addUnigramWord(word, unigramProbability);
         }
 
-        final boolean[][] bigramRelations = new boolean[wordCount][wordCount];
+        final int[][] probabilities = new int[wordCount][wordCount];
+
+        for (int i = 0; i < wordCount; ++i) {
+            for (int j = 0; j < wordCount; ++j) {
+                probabilities[i][j] = Dictionary.NOT_A_PROBABILITY;
+            }
+        }
+
         for (int i = 0; i < bigramCount; i++) {
             final int word0Index = random.nextInt(wordCount);
             final int word1Index = random.nextInt(wordCount);
             final String word0 = words.get(word0Index);
             final String word1 = words.get(word1Index);
-
-            bigramRelations[word0Index][word1Index] = true;
+            final int bigramProbability = random.nextInt(0xF);
+            probabilities[word0Index][word1Index] = binaryDictionary.calculateProbability(
+                    unigramProbabilities[word1Index], bigramProbability);
             binaryDictionary.addBigramWords(word0, word1, bigramProbability);
         }
 
         for (int i = 0; i < words.size(); i++) {
             for (int j = 0; j < words.size(); j++) {
-                assertEquals(bigramRelations[i][j],
-                        binaryDictionary.isValidBigram(words.get(i), words.get(j)));
+                assertEquals(probabilities[i][j],
+                        binaryDictionary.getBigramProbability(words.get(i), words.get(j)));
             }
         }
 
@@ -263,7 +299,6 @@
         BinaryDictionary binaryDictionary = new BinaryDictionary(dictFile.getAbsolutePath(),
                 0 /* offset */, dictFile.length(), true /* useFullEditDistance */,
                 Locale.getDefault(), TEST_LOCALE, true /* isUpdatable */);
-
         final int unigramProbability = 100;
         final int bigramProbability = 10;
         binaryDictionary.addUnigramWord("aaa", unigramProbability);
@@ -299,4 +334,54 @@
 
         dictFile.delete();
     }
+
+    public void testFlushDictionary() {
+        File dictFile = null;
+        try {
+            dictFile = createEmptyDictionaryAndGetFile("TestBinaryDictionary");
+        } catch (IOException e) {
+            fail("IOException while writing an initial dictionary : " + e);
+        } catch (UnsupportedFormatException e) {
+            fail("UnsupportedFormatException while writing an initial dictionary : " + e);
+        }
+        BinaryDictionary binaryDictionary = new BinaryDictionary(dictFile.getAbsolutePath(),
+                0 /* offset */, dictFile.length(), true /* useFullEditDistance */,
+                Locale.getDefault(), TEST_LOCALE, true /* isUpdatable */);
+
+        final int probability = 100;
+        binaryDictionary.addUnigramWord("aaa", probability);
+        binaryDictionary.addUnigramWord("abcd", probability);
+        // Close without flushing.
+        binaryDictionary.close();
+
+        binaryDictionary = new BinaryDictionary(dictFile.getAbsolutePath(),
+                0 /* offset */, dictFile.length(), true /* useFullEditDistance */,
+                Locale.getDefault(), TEST_LOCALE, true /* isUpdatable */);
+
+        assertEquals(-1, binaryDictionary.getFrequency("aaa"));
+        assertEquals(-1, binaryDictionary.getFrequency("abcd"));
+
+        binaryDictionary.addUnigramWord("aaa", probability);
+        binaryDictionary.addUnigramWord("abcd", probability);
+        binaryDictionary.flush();
+        binaryDictionary.close();
+
+        binaryDictionary = new BinaryDictionary(dictFile.getAbsolutePath(),
+                0 /* offset */, dictFile.length(), true /* useFullEditDistance */,
+                Locale.getDefault(), TEST_LOCALE, true /* isUpdatable */);
+
+        assertEquals(probability, binaryDictionary.getFrequency("aaa"));
+        assertEquals(probability, binaryDictionary.getFrequency("abcd"));
+        binaryDictionary.addUnigramWord("bcde", probability);
+        binaryDictionary.flush();
+        binaryDictionary.close();
+
+        binaryDictionary = new BinaryDictionary(dictFile.getAbsolutePath(),
+                0 /* offset */, dictFile.length(), true /* useFullEditDistance */,
+                Locale.getDefault(), TEST_LOCALE, true /* isUpdatable */);
+        assertEquals(probability, binaryDictionary.getFrequency("bcde"));
+        binaryDictionary.close();
+
+        dictFile.delete();
+    }
 }
diff --git a/tests/src/com/android/inputmethod/latin/InputLogicTests.java b/tests/src/com/android/inputmethod/latin/InputLogicTests.java
index fe92be6..cc2569f 100644
--- a/tests/src/com/android/inputmethod/latin/InputLogicTests.java
+++ b/tests/src/com/android/inputmethod/latin/InputLogicTests.java
@@ -134,6 +134,13 @@
         assertEquals("simple auto-correct", EXPECTED_RESULT, mEditText.getText().toString());
     }
 
+    public void testAutoCorrectWithQuote() {
+        final String STRING_TO_TYPE = "didn' ";
+        final String EXPECTED_RESULT = "didn't ";
+        type(STRING_TO_TYPE);
+        assertEquals("auto-correct with quote", EXPECTED_RESULT, mEditText.getText().toString());
+    }
+
     public void testAutoCorrectWithPeriod() {
         final String STRING_TO_TYPE = "tgis.";
         final String EXPECTED_RESULT = "this.";
diff --git a/tests/src/com/android/inputmethod/latin/SuggestedWordsTests.java b/tests/src/com/android/inputmethod/latin/SuggestedWordsTests.java
index 4cf8333..a594baf 100644
--- a/tests/src/com/android/inputmethod/latin/SuggestedWordsTests.java
+++ b/tests/src/com/android/inputmethod/latin/SuggestedWordsTests.java
@@ -64,4 +64,37 @@
         assertEquals("0", wordsWithoutTyped.getWord(0));
         assertEquals(SuggestedWordInfo.KIND_CORRECTION, wordsWithoutTyped.getInfo(0).mKind);
     }
+
+    // Helper for testGetTransformedWordInfo
+    private SuggestedWordInfo createWordInfo(final String s) {
+        // Use 100 as the frequency because the numerical value does not matter as
+        // long as it's > 1 and < INT_MAX.
+        return new SuggestedWordInfo(s, 100,
+                SuggestedWordInfo.KIND_TYPED, null /* sourceDict */,
+                SuggestedWordInfo.NOT_AN_INDEX /* indexOfTouchPointOfSecondWord */,
+                SuggestedWordInfo.NOT_A_CONFIDENCE /* autoCommitFirstWordConfidence */);
+    }
+
+    // Helper for testGetTransformedWordInfo
+    private SuggestedWordInfo transformWordInfo(final String info,
+            final int trailingSingleQuotesCount) {
+        return Suggest.getTransformedSuggestedWordInfo(createWordInfo(info),
+                Locale.ENGLISH, false /* isAllUpperCase */, false /* isFirstCharCapitalized */,
+                trailingSingleQuotesCount);
+    }
+
+    public void testGetTransformedSuggestedWordInfo() {
+        SuggestedWordInfo result = transformWordInfo("word", 0);
+        assertEquals(result.mWord, "word");
+        result = transformWordInfo("word", 1);
+        assertEquals(result.mWord, "word'");
+        result = transformWordInfo("word", 3);
+        assertEquals(result.mWord, "word'''");
+        result = transformWordInfo("didn't", 0);
+        assertEquals(result.mWord, "didn't");
+        result = transformWordInfo("didn't", 1);
+        assertEquals(result.mWord, "didn't");
+        result = transformWordInfo("didn't", 3);
+        assertEquals(result.mWord, "didn't''");
+    }
 }