Use LanguageModelDictContent in iterateNgramEntries().

    if (!prevWordsPtNodePos) {

    if (!prevWordsPtNodePos) {

        return;

        return;

    }

    }

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

    // TODO: Support n-gram.

    BinaryDictionaryBigramsIterator bigramsIt(&mBigramPolicy, bigramsPosition);

    const PtNodeParams ptNodeParams =

    while (bigramsIt.hasNext()) {

            mNodeReader.fetchPtNodeParamsInBufferFromPtNodePos(prevWordsPtNodePos[0]);

        bigramsIt.next();

    const int prevWordId = ptNodeParams.getTerminalId();

        listener->onVisitEntry(bigramsIt.getProbability(), bigramsIt.getBigramPos());

    const WordIdArrayView prevWordIds = WordIdArrayView::fromObject(&prevWordId);

    const auto languageModelDictContent = mBuffers->getLanguageModelDictContent();

    for (const auto entry : languageModelDictContent->getProbabilityEntries(prevWordIds)) {

        const ProbabilityEntry &probabilityEntry = entry.getProbabilityEntry();

        const int probability = probabilityEntry.hasHistoricalInfo() ?

                ForgettingCurveUtils::decodeProbability(

                        probabilityEntry.getHistoricalInfo(), mHeaderPolicy) :

                probabilityEntry.getProbability();

        const int ptNodePos = mBuffers->getTerminalPositionLookupTable()->getTerminalPtNodePosition(

                entry.getWordId());

        listener->onVisitEntry(probability, ptNodePos);

    }

    }

}

}