Unsupervised Rhyme Scheme Identification in Hip Hop Lyrics Using Hidden Markov Models

Author:

Addanki Karteek,Wu Dekai

Publisher

Springer Berlin Heidelberg

Reference9 articles.

1. Mitchell, K.: Hip-hop rhyming dictionary. Alfred Publishing Company, Incorporated (2003)

2. Greene, E., Bodrumlu, T., Knight, K.: Automatic analysis of rhythmic poetry with applications to generation and translation. In: Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp. 524–533. Association for Computational Linguistics (2010)

3. Reddy, S., Knight, K.: Unsupervised discovery of rhyme schemes. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Short Papers, vol. 2, pp. 77–82. Association for Computational Linguistics (2011)

4. Genzel, D., Uszkoreit, J., Och, F.: Poetic statistical machine translation: rhyme and meter. In: Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp. 158–166. Association for Computational Linguistics (2010)

5. Jiang, L., Zhou, M.: Generating chinese couplets using a statistical mt approach. In: Proceedings of the 22nd International Conference on Computational Linguistics, COLING 2008, vol. 1, pp. 377–384. Association for Computational Linguistics, Stroudsburg (2008)

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