Semi-supervised learning of concatenative morphology

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn , Issue , 2010, Pages 78-86

  Kohonen, Oskar ^a   Virpioja, Sami ^a   Lagus, Krista ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; LINGUISTICS; SUPERVISED LEARNING;

FINNISH; GOLD STANDARDS; LABELED DATA; LIKELIHOOD FUNCTIONS; MORPHOLOGICAL SEGMENTATION; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING; STANDARD ANALYSIS; UNLABELED DATA; UNSUPERVISED METHOD;

MORPHOLOGY;

EID: 85121309849     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. Delphine Bernhard. 2006. Unsupervised morphological segmentation based on segment predictability and word segments alignment. In Proceedings of the PASCAL Challenge Workshop on Unsupervised segmentation of words into morphemes, Venice, Italy. PASCAL European Network of Excellence.
2. Delphine Bernhard. 2008. Simple morpheme labelling in unsupervised morpheme analysis. In Advances in Multilingual and Multimodal Information Retrieval, 8th Workshop of the CLEF, volume 5152 of Lecture Notes in Computer Science, pages 873–880. Springer Berlin / Heidelberg.
3. Mathias Creutz and Krista Lagus. 2002. Unsupervised discovery of morphemes. In Proceedings of the Workshop on Morphological and Phonological Learning of ACL’02, pages 21–30, Philadelphia, Pennsylvania, USA.
4. Mathias Creutz and Krista Lagus. 2005. Unsupervised morpheme segmentation and morphology induction from text corpora using Morfessor 1.0. Technical Report A81, Publications in Computer and Information Science, Helsinki University of Technology.
5. Mathias Creutz and Krista Lagus. 2007. Unsupervised models for morpheme segmentation and morphology learning. ACM Transactions on Speech and Language Processing, 4(1), January.
6. Mathias Creutz and Krister Lindén. 2004. Morpheme segmentation gold standards for Finnish and English. Technical Report A77, Publications in Computer and Information Science, Helsinki University of Technology.
7. Mathias Creutz, Teemu Hirsimäki, Mikko Kurimo, Antti Puurula, Janne Pylkkönen, Vesa Siivola, Matti Varjokallio, Ebru Arisoy, Murat Saraçlar, and Andreas Stolcke. 2007. Morph-based speech recognition and modeling of out-of-vocabulary words across languages. ACM Transactions on Speech and Language Processing, 5(1):1–29.
8. Sajib Dasgupta and Vincent Ng. 2007. High-performance, language-independent morphological segmentation. In the annual conference of the North American Chapter of the ACL (NAACL-HLT).
9. Arthur P. Dempster, Nan M. Laird, and Donald B. Rubin. 1977. Maximum likelihood from incomplete data via the em algorithm. Journal of the Royal Statistical Society, Series B (Methodological), 39(1):1–38.
10. John Goldsmith. 2001. Unsupervised learning of the morphology of a natural language. Computational Linguistics, 27(2):153–189.
11. Kimmo Koskenniemi. 1983. Two-level morphology: A general computational model for word-form recognition and production. Ph.D. thesis, University of Helsinki.
12. Mikko Kurimo, Mathias Creutz, and Matti Varjokallio. 2008. Morpho Challenge evaluation using a linguistic Gold Standard. In Advances in Multilingual and MultiModal Information Retrieval, 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21, 2007, Revised Selected Papers, Lecture Notes in Computer Science, Vol. 5152, pages 864–873. Springer.
13. Mikko Kurimo, Sami Virpioja, Ville T. Turunen, Graeme W. Blackwood, and William Byrne. 2009. Overview and results of Morpho Challenge 2009. In Working Notes for the CLEF 2009 Workshop, Corfu, Greece, September.
14. Wei Li and Andrew McCallum. 2005. Semi-supervised sequence modeling with syntactic topic models. In AAAI’05: Proceedings of the 20th national conference on Artificial intelligence, pages 813–818. AAAI Press.
15. Christian Monson, Alon Lavie, Jaime Carbonell, and Lori Levin. 2004. Unsupervised induction of natural language morphology inflection classes. In Proceedings of the Workshop of the ACL Special Interest Group in Computational Phonology (SIGPHON).
16. Christian Monson, Jaime Carbonell, Alon Lavie, and Lori Levin. 2008. ParaMor: Finding paradigms across morphology. In Advances in Multilingual and MultiModal Information Retrieval, 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21, 2007, Revised Selected Papers, Lecture Notes in Computer Science, Vol. 5152. Springer.
17. Hoifung Poon, Colin Cherry, and Kristina Toutanova. 2009. Unsupervised morphological segmentation with log-linear models. In NAACL’09: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 209–217. Association for Computational Linguistics.
18. Jorma Rissanen. 1989. Stochastic Complexity in Statistical Inquiry, volume 15. World Scientific Series in Computer Science, Singapore.
19. Benjamin Snyder and Regina Barzilay. 2008a. Cross-lingual propagation for morphological analysis. In AAAI’08: Proceedings of the 23rd national conference on Artificial intelligence, pages 848–854. AAAI Press.
20. Benjamin Snyder and Regina Barzilay. 2008b. Unsupervised multilingual learning for morphological segmentation. In Proceedings of ACL-08: HLT, pages 737–745, Columbus, Ohio, June. Association for Computational Linguistics.
21. Sami Virpioja and Oskar Kohonen. 2009. Unsupervised morpheme analysis with Allomorfessor. In Working notes for the CLEF 2009 Workshop, Corfu, Greece.
22. Jia Xu, Jianfeng Gao, Kristina Toutanova, and Hermann Ney. 2008. Bayesian semi-supervised chinese word segmentation for statistical machine translation. In COLING’08: Proceedings of the 22nd International Conference on Computational Linguistics, pages 1017–1024, Morristown, NJ, USA. Association for Computational Linguistics.
23. Xiaojin Zhu. 2005. Semi-supervised Learning with Graphs. Ph.D. thesis, CMU. Chapter 11, Semi-supervised learning literature survey (updated online version).