def train(X_train, y_train, **kwargs):
    '''
    >>> corpus = CorpusReader('annot.opcorpora.xml')
    >>> X_train, x_test, y_train, y_test = get_train_data(corpus, test_size=0.33, random_state=42)
    >>> crf = train(X_train, y_train)
    '''
    crf = Trainer()
    crf.set_params({
        'c1': 1.0,
        'c2': 0.001,
        'max_iterations': 200,
        'feature.possible_transitions': True,
    })

    for xseq, yseq in zip(X_train, y_train):
        crf.append(xseq, yseq)
    crf.train(TOKENIZATION_MODEL_PATH)
    return crf