Induction of a simple morphology for highly-inflecting languages

Current Themes in Computational Phonology and Morphology: 7th Meeting of the ACL Special Interest Group in Computational Phonology, Held in cooperation with ACL 2004

Volumn , Issue , 2004, Pages 43-51

  Creutz, Mathias ^a   Lagus, Krista ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

FINNISH; GOLD STANDARDS; LEARN+; NATURAL LANGUAGES; PROBABILISTIC MODELS; SIMPLE++; STATE-OF-THE-ART ALGORITHMS; THREE CATEGORIES; WORD STRUCTURES;

MORPHOLOGY;

EID: 85117809143     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. M. Baroni, J. Matiasek, and H. Trost. 2002. Unsupervised learning of morphologically related words based on orthographic and semantic similarity. In Proc. Workshop on Morphological & Phonological Learning of ACL’02, pages 48–57.
2. M. R. Brent. 1999. An efficient, probabilistically sound algorithm for segmentation and word discovery. Machine Learning, 34:71–105.
3. M. Creutz and K. Lagus. 2002. Unsupervised discovery of morphemes. In Proc. Workshop on Morphological and Phonological Learning of ACL’02, pages 21–30, Philadelphia, Pennsylvania, USA.
4. M. Creutz. 2003. Unsupervised segmentation of words using prior distributions of morph length and frequency. In Proc. ACL’03, pages 280–287, Sapporo, Japan.
5. C. G. de Marcken. 1996. Unsupervised Language Acquisition. Ph.D. thesis, MIT.
6. H. Déjean. 1998. Morphemes as necessary concept for structures discovery from untagged corpora. In Workshop on Paradigms and Grounding in Natural Language Learning, pages 295–299, Adelaide.
7. J. Goldsmith. 2001. Unsupervised learning of the morphology of a natural language. Computational Linguistics, 27(2):153–198.
8. K. Hacioglu, B. Pellom, T. Ciloglu, O. Ozturk, M. Kurimo, and M. Creutz. 2003. On lexicon creation for Turkish LVCSR. In Proc. Eurospeech’03, pages 1165–1168, Geneva, Switzerland.
9. K. Koskenniemi. 1983. Two-level morphology: A general computational model for word-form recognition and production. Ph.D. thesis, University of Helsinki.
10. S. Neuvel and S. A. Fulop. 2002. Unsupervised learning of morphology without morphemes. In Proc. Workshop on Morphological & Phonological Learning of ACL’02, pages 31–40.
11. J. R. Saffran, E. L. Newport, and R. N. Aslin. 1996. Word segmentation: The role of distributional cues. Journal of Memory and Language, 35:606–621.
12. P. Schone and D. Jurafsky. 2000. Knowledge-free induction of morphology using Latent Semantic Analysis. In Proc. CoNLL-2000 & LLL-2000, pages 67–72.
13. P. Schone and D. Jurafsky. 2001. Knowledge-free induction of inflectional morphologies. In Proc. NAACL-2001.
14. V. Siivola, T. Hirsimäki, M. Creutz, and M. Kurimo. 2003. Unlimited vocabulary speech recognition based on morphs discovered in an unsupervised manner. In Proc. Eurospeech’03, pages 2293–2296, Geneva, Switzerland.
15. M. G. Snover and M. R. Brent. 2001. A Bayesian model for morpheme and paradigm identification. In Proc. 39th Annual Meeting of the ACL, pages 482–490.
16. D. Yarowsky and R. Wicentowsky. 2000. Minimally supervised morphological analysis by multimodal alignment. In Proc. ACL-2000, pages 207–216.