def METHOD_NAME(self, predictions, references, alpha=0.9, beta=3, gamma=0.5):
    if NLTK_VERSION >= version.Version("3.6.5"):
        scores = [
            meteor_score.single_meteor_score(
                word_tokenize(ref), word_tokenize(pred), alpha=alpha, beta=beta, gamma=gamma
            )
            for ref, pred in zip(references, predictions)
        ]
    else:
        scores = [
            meteor_score.single_meteor_score(ref, pred, alpha=alpha, beta=beta, gamma=gamma)
            for ref, pred in zip(references, predictions)
        ]
    return {"meteor": np.mean(scores)}