Painless Semi-Supervised Morphological Segmentation using Conditional Random Fields

EACL 2014 - 14th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference

Volumn , Issue , 2014, Pages 84-89

  Ruokolainen, Teemu ^a   Kohonen, Oskar ^a   Virpioja, Sami ^a   Kurimo, Mikko ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; LEARNING ALGORITHMS; NATURAL LANGUAGE PROCESSING SYSTEMS; SUPERVISED LEARNING;

DATA DRIVEN; FEATURES SETS; MORPHOLOGICAL SEGMENTATION; RANDOM FIELD MODEL; SEGMENTATION ACCURACY; SEGMENTATION TECHNIQUES; SEMI-SUPERVISED; SURFACE FORMS; UNSUPERVISED SEGMENTATION; UNSUPERVISED TECHNIQUES;

RANDOM PROCESSES;

EID: 85122039144     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. Michael Collins. 2002. Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms. In Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP 2002), volume 10, pages 1-8. Association for Computational Linguistics.
2. Çagrı Çöltekin. 2010. Improving successor variety for morphological segmentation. In Proceedings of the 20th Meeting of Computational Linguistics in the Netherlands.
3. Mathias Creutz and Krista Lagus. 2002. Unsupervised discovery of morphemes. In Mike Maxwell, editor, Proceedings of the ACL-02 Workshop on Morphological and Phonological Learning, pages 21-30, Philadelphia, PA, USA, July. Association for Computational Linguistics.
4. Mathias Creutz and Krista Lagus. 2005. Inducing the morphological lexicon of a natural language from unannotated text. In Timo Honkela, Ville Könönen, Matti Pöllä, and Olli Simula, editors, Proceedings of AKRR'05, International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning, pages 106-113, Espoo, Finland, June. Helsinki University of Technology, Laboratory of Computer and Information Science.
5. Mathias Creutz and Krista Lagus. 2007. Unsupervised models for morpheme segmentation and morphology learning. ACM Transactions on Speech and Language Processing, 4(1):3:1-3:34, January.
6. 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):3:1-3:29, December.
7. Zellig Harris. 1955. From phoneme to morpheme. Language, 31(2):190-222.
8. Luheng He, Jennifer Gillenwater, and Ben Taskar. 2013. Graph-based posterior regularization for semi-supervised structured prediction. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning, pages 38-46, Sofia, Bulgaria, August. Association for Computational Linguistics.
9. Teemu Hirsimäki, Mathias Creutz, Vesa Siivola, Mikko Kurimo, Sami Virpioja, and Janne Pylkkönen. 2006. Unlimited vocabulary speech recognition with morph language models applied to Finnish. Computer Speech and Language, 20(4):515-541, October.
10. Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Greiner, and Dale Schuurmans. 2006. Semi-supervised conditional random fields for improved sequence segmentation and labeling. In Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics, pages 209-216. Association for Computational Linguistics.
11. Oskar Kohonen, Sami Virpioja, and Krista Lagus. 2010. Semi-supervised learning of concatenative morphology. In Proceedings of the 11th Meeting of the ACL Special Interest Group on Computational Morphology and Phonology, pages 78-86, Uppsala, Sweden, July. Association for Computational Linguistics.
12. Mikko Kurimo, Sami Virpioja, Ville 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.
13. Mikko Kurimo, Sami Virpioja, and Ville Turunen. 2010. Overview and results of Morpho Challenge 2010. In Proceedings of the Morpho Challenge 2010 Workshop, pages 7-24, Espoo, Finland, September. Aalto University School of Science and Technology, Department of Information and Computer Science. Technical Report TKK-ICS-R37.
14. John Lafferty, Andrew McCallum, and Fernando Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Carla E. Brodley and Andrea Pohoreckyj Danyluk, editors, Proceedings of the Eighteenth International Conference on Machine Learning, pages 282-289, Williamstown, MA, USA. Morgan Kaufmann.
15. Minh-Thang Luong, Richard Socher, and Christopher D Manning. 2013. Better word representations with recursive neural networks for morphology. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning (CoNLL), pages 29-37. Association for Computational Linguistics, August.
16. Gideon Mann and Andrew McCallum. 2008. Generalized expectation criteria for semi-supervised learning of conditional random fields. In Proceedings of ACL-08: HLT, pages 870-878. Association for Computational Linguistics.
17. Hoifung Poon, Colin Cherry, and Kristina Toutanova. 2009. Unsupervised morphological segmentation with log-linear models. In 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. Teemu Ruokolainen, Oskar Kohonen, Sami Virpioja, and Mikko Kurimo. 2013. Supervised morphological segmentation in a low-resource learning setting using conditional random fields. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning (CoNLL), pages 29-37. Association for Computational Linguistics, August.
19. Weiwei Sun and Jia Xu. 2011. Enhancing Chinese word segmentation using unlabeled data. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 970-979. Association for Computational Linguistics.
20. Joseph Turian, Lev Ratinov, and Yoshua Bengio. 2010. Word representations: a simple and general method for semi-supervised learning. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pages 384-394. Association for Computational Linguistics.
21. Ville Turunen and Mikko Kurimo. 2011. Speech retrieval from unsegmented Finnish audio using statistical morpheme-like units for segmentation, recognition, and retrieval. ACM Transactions on Speech and Language Processing, 8(1):1:1-1:25, October.
22. Sami Virpioja, Peter Smit, Stig-Arne Grönroos, and Mikko Kurimo. 2013. Morfessor 2.0: Python implementation and extensions for Morfessor Baseline. Report 25/2013 in Aalto University publication series SCIENCE + TECHNOLOGY, Department of Signal Processing and Acoustics, Aalto University.
23. Yiou Wang, Yoshimasa Tsuruoka Jun'ichi Kazama, Yoshimasa Tsuruoka, Wenliang Chen, Yujie Zhang, and Kentaro Torisawa. 2011. Improving Chinese word segmentation and POS tagging with semi-supervised methods using large auto-analyzed data. In IJCNLP, pages 309-317.