Activate bigram predictions from the binary dictionary

        Arrays.fill(mBigramScores, 0);

        int codesSize = codes.size();

        if (codesSize <= 0) {

            // Do not return bigrams from BinaryDictionary when nothing was typed.

            // Only use user-history bigrams (or whatever other bigram dictionaries decide).

            return;

        }

        Arrays.fill(mInputCodes, -1);

        if (codesSize > 0) {

            int[] alternatives = codes.getCodesAt(0);

            System.arraycopy(alternatives, 0, mInputCodes, 0,

                    Math.min(alternatives.length, MAX_PROXIMITY_CHARS_SIZE));

        }

        int count = getBigramsNative(mNativeDict, chars, chars.length, mInputCodes, codesSize,

                mOutputChars_bigrams, mBigramScores, MAX_WORD_LENGTH, MAX_BIGRAMS,

                MAX_PROXIMITY_CHARS_SIZE);

        for (int j = 0; j < count; ++j) {

            if (mBigramScores[j] < 1) break;

            if (codesSize > 0 && mBigramScores[j] < 1) break;

            final int start = j * MAX_WORD_LENGTH;

            int len = 0;

            while (len <  MAX_WORD_LENGTH && mOutputChars_bigrams[start + len] != 0) {

        const int length = BinaryFormat::getWordAtAddress(root, bigramPos, MAX_WORD_LENGTH,

                bigramBuffer);

        if (checkFirstCharacter(bigramBuffer)) {

        // codesSize == 0 means we are trying to find bigram predictions.

        if (codesSize < 1 || checkFirstCharacter(bigramBuffer)) {

            const int frequency = UnigramDictionary::MASK_ATTRIBUTE_FREQUENCY & bigramFlags;

            addWordBigram(bigramBuffer, length, frequency);

        }