Exploring the utility of joint morphological and syntactic learning from child-directed speech

EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Volumn , Issue , 2013, Pages 30-41

  Frank, Stella ^a   Keller, Frank ^a   Goldwater, Sharon ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; SPEECH RECOGNITION; SYNTACTICS;

JOINT LEARNING; LANGUAGE ACQUISITION; LINGUISTIC STRUCTURE; MORPHOLOGICAL SEGMENTATION; MULTIPLE LEVELS; SEQUENTIAL LEARNING; SINGLE LEVEL;

COMPUTATIONAL LINGUISTICS;

EID: 84906931994     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (34)

1. Taylor Berg-Kirkpatrick, Alexandre Bouchard-Cote, John DeNero, and Dan Klein. Painless unsupervised learning with features. In Proceedings of the North American Association for Computational Linguistics (NAACL), 2010.
2. Barry J. Blake. Case. Cambridge University Press, 2001.
3. Phil Blunsom and Trevor Cohn. A hierarchical Pitman-Yor process HMM for unsupervised part of speech induction. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL), 2011.
4. Roger Brown. A first language: The early stages. Harvard University Press, Cambridge, MA, 1973.
5. Christos Christodoulopoulos, Sharon Goldwater, and Mark Steedman. Two decades of unsupervised POS induction: How far have we come? In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL), 2010.
6. Christos Christodoulopoulos, Sharon Goldwater, and Mark Steedman. A Bayesian mixture model for part-of-speech induction using multiple features. In Proceedings of the 16th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2011.
7. Alexander Clark. Combining distributional and morphological information for part of speech induction. In Proceedings of the 10th annual Meeting of the European Association for Computational Linguistics (EACL), 2003a.
8. Eve V. Clark. First Language Acquisition. Cambridge University Press, 2003b.
9. Mathias Creutz and Krista Lagus. Unsupervised models for morpheme segmentation and morphology learning. ACM Transactions on Speech and Language Processing, 4(1):1-34, 2007.
10. Sajib Dasgupta and Vincent Ng. Unsupervised part-of-speech acquisition for resource-scarce languages. In Proceedings of the 12th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2007.
11. Gabriel Doyle and Roger Levy. Combining multiple information types in Bayesian word segmentation. In Proceedings of NAACL-HLT 2013, pages 117-126, 2013.
12. Micha Elsner, Sharon Goldwater, and Jacob Eisenstein. Bootstrapping a unified model of lexical and phonetic acquisition. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL), 2012.
13. Naomi Feldman, Thomas Griffiths, and James Morgan. Learning phonetic categories by learning a lexicon. In Proceedings of the 31st Annual Conference of the Cognitive Science Society (CogSci), 2009.
14. Michelle A. Fullwood and Timothy J. O'Donnell. Learning non-concatenative morphology. In Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 2013.
15. John Goldsmith. An algorithm for the unsupervised learning of morphology. Natural Language Engineering, 12(4):353-371, December 2006.
16. Sharon Goldwater and Thomas L. Griffiths. A fully Bayesian approach to unsupervised part-of-speech tagging. In Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL), 2007.
17. Sharon Goldwater, Thomas L. Griffiths, and Mark Johnson. Interpolating between types and tokens by estimating power-law generators. In Advances in Neural Information Processing Systems 18, 2006.
18. Aria Haghighi and Dan Klein. Prototype-driven grammar induction. In Proceedings of the 44th Annual Meeting of the Association for Computational Linguistics (ACL), 2006.
19. Harald Hammarström and Lars Borin. Unsupervised learning of morphology. Computational Linguistics, 37(2):309-350, 2011.
20. Mark Johnson. Using Adaptor Grammars to identify synergies in the unsupervised acquisition of linguistic structure. In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics (ACL), 2008.
21. Mikko Kurimo, Sami Virpioja, and Ville T. Turunen. Proceedings of the MorphoChallenge 2010 workshop. Technical Report TKK-ICS-R37, Aalto University School of Science and Technology, Espoo, Finland, 2010.
22. Tom Kwiatkowski, Sharon Goldwater, Luke Zettelmoyer, and Mark Steedman. A probabilistic model of syntactic and semantic acquisition from child-directed utterances and their meanings. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2012.
23. Yoong Keok Lee, Aria Haghighi, and Regina Barzilay. Simple type-level unsupervised POS tagging. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL), 2010.
24. Yoong Keok Lee, Aria Haghighi, and Regina Barzilay. Modeling syntactic context improves morphological segmentation. In Proceedings of Fifteenth Conference on Computational Natural Language Learning, 2011.
25. Brian MacWhinney. The CHILDES Project: Tools for Analyzing Talk. Lawrence Erlbaum Associates, Mahwah, NJ, 2000.
26. Brian MacWhinney, Elizabeth Bates, and Reinhold Kliegl. Cue validity and sentence interpretation in English, German, and Italian. Journal of Verbal Learning and Verbal Behavior, 23:127-150, 1984.
27. Thomas McFadden. On morphological case and word-order freedom. In Proceedings of the Annual Meeting of the Berkeley Linguistics Society, volume 29, pages 295-306, 2003.
28. S. Lopez Ornat. La adquisicion de la lengua espagnola. Siglo XXI, Madrid, 1994.
29. Andrew Rosenberg and Julia Hirschberg. V-measure: A conditional entropy-based external cluster evaluation measure. In Proceedings of the 12th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2007.
30. Kairit Sirts and Tanel Alumäe. A hierarchical Dirichlet process model for joint part-of-speech and morphology induction. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2012.
31. Dan Slobin. Universal and particular in the acquisition of language. In Eric Wanner and Lila R. Gleitman, editors, Language acquisition: the state of the art, pages 128-170. Cambridge University Press, 1982.
32. Noah A. Smith and Jason Eisner. Contrastive estimation: Training log-linear models on unlabeled data. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL), 2005.
33. Yee Whye Teh. A hierarchical Bayesian language model based on Pitman-Yor processes. In Proceedings of the 44th Annual Meeting of the Association for Computational Linguistics (ACL), 2006.
34. Aris Xanthos, Sabine Laaha, Steven Gillis, Ursula Stephany, Ayhan Aksu-Koç, Anastasia Christofidou, Natalia Gagarina, Gordana Hrzica, F. Nihan Ketrez, Marianne Kilani-Schoch, Katharina Korecky-Kröll, Melita Kovačević, Klaus Laalo, Marijan Palmović, Barbara Pfeiler, Maria D. Voeikova, and Wolfgang U. Dressler. On the role of morphological richness in the early development of noun and verb inflection. First Language, 31(4):461-479, 2011.