Merge "Get bigram probability using language model dict content."

    if (ptNodePos == NOT_A_DICT_POS) {

        return NOT_A_PROBABILITY;

    }

    const PtNodeParams ptNodeParams(mNodeReader.fetchPtNodeParamsInBufferFromPtNodePos(ptNodePos));

    const PtNodeParams ptNodeParams = mNodeReader.fetchPtNodeParamsInBufferFromPtNodePos(ptNodePos);

    if (ptNodeParams.isDeleted() || ptNodeParams.isBlacklisted() || ptNodeParams.isNotAWord()) {

        return NOT_A_PROBABILITY;

    }

    if (prevWordsPtNodePos) {

        const int bigramsPosition = getBigramsPositionOfPtNode(prevWordsPtNodePos[0]);

        BinaryDictionaryBigramsIterator bigramsIt(&mBigramPolicy, bigramsPosition);

        while (bigramsIt.hasNext()) {

            bigramsIt.next();

            if (bigramsIt.getBigramPos() == ptNodePos

                    && bigramsIt.getProbability() != NOT_A_PROBABILITY) {

                return getProbability(ptNodeParams.getProbability(), bigramsIt.getProbability());

        // TODO: Support n-gram.

        const PtNodeParams prevWordPtNodeParams =

                mNodeReader.fetchPtNodeParamsInBufferFromPtNodePos(prevWordsPtNodePos[0]);

        const int prevWordTerminalId = prevWordPtNodeParams.getTerminalId();

        const ProbabilityEntry probabilityEntry =

                mBuffers->getLanguageModelDictContent()->getNgramProbabilityEntry(

                        IntArrayView::fromObject(&prevWordTerminalId),

                        ptNodeParams.getTerminalId());

        if (!probabilityEntry.isValid()) {

            return NOT_A_PROBABILITY;

        }

        if (mHeaderPolicy->hasHistoricalInfoOfWords()) {

            return ForgettingCurveUtils::decodeProbability(probabilityEntry.getHistoricalInfo(),

                    mHeaderPolicy);

        } else {

            return probabilityEntry.getProbability();

        }

        return NOT_A_PROBABILITY;

    }

    return getProbability(ptNodeParams.getProbability(), NOT_A_PROBABILITY);

}