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ParaMor and Morpho challenge 2008

Published: 17 September 2008 Publication History

Abstract

We summarize the strong performance of ParaMor, an unsupervised morphology induction system, at Morpho Challenge 2008. When ParaMor's morphological analyses, which specialize at identifying inflectional morphology, are added to the analyses from the general-purpose unsupervised morphology induction system, Morfessor, the combined system identifies the morphemes of all five Morpho Challenge languages at recall scores higher than those of any other system which competed in the Challenge. These strong recall scores lead to F1 values for morpheme identification as high as or higher than those of any competing system for all the competition languages but English.

References

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Bernhard, D.: Simple Morpheme Labeling in Unsupervised Morpheme Analysis. In: Peters, C., Jijkoun, V., Mandl, T., Müller, H., Oard, D.W., Peñas, A., Petras, V., Santos, D. (eds.) CLEF 2007. LNCS, vol. 5152, pp. 873-880. Springer, Heidelberg (2008).
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Bernhard, D.: Apprentissage non supervisé de familles morphologiques par classification ascendante hiérarchique. In: Actes de la 14e conférence sur le Traitement Automatique des Langues Naturelles, TALN (2007).
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Brent, M.R., Murthy, S.K., Lundberg, A.: Discovering Morphemic Suffixes: A Case Study in MDL Induction. In: The Fifth International Workshop on Artificial Intelligence and Statistics (1995).
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Comrie, B., Dryer, M.S., Gil, D., Haspelmath, M.: Introduction. In: Haspelmath, M., Dryer, M.S., Gil, D., Comrie, B. (eds.) The World Atlas of Language Structures. Oxford University Press, Oxford (2005).
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Creutz, M.: Induction of the Morphology of Natural Language: Unsupervised Morpheme Segmentation with Application to Automatic Speech Recognition. Ph.D. Thesis. Computer and Information Science, Report D13. Helsinki: University of Technology, Es-poo, Finland (2006).
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Goldsmith, J.: An Algorithm for the Unsupervised Learning of Morphology. Natural Language Engineering 12.4, 335-351 (2006).
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Hammarström, H.: Unsupervised Learning of Morphology: Survey, Model, Algorithm and Experiments. Thesis for the Degree of Licentiate of Engineering. Chalmers, Göteborg University (2007).
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Harris, Z.: From Phoneme to Morpheme. Language 31.2, 190-222 (1955).
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Harris, Z.: Papers in Structural and Transformational Linguists. D. Reidel, Dordrecht (1970).
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Kurimo, M., Turunen, V., Varjokallio, M.: Unsupervised Morpheme Analysis - Morpho Challenge (2008), http://www.cis.hut.fi/morphochallenge-2008/ (accessed on: August 11, 2008).
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Monson, C.: ParaMor: From Paradigm Structure to Natural Language Morphology Induction. Ph.D. Thesis. Language Technologies Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania (2009).
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Schone, P., Jurafsky, D.: Knowledge-Free Induction of Inflectional Morphologies. In: North American Chapter of the Association for Computational Linguistics, NAACL (2001).
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Sharma, U., Kalita, J., Das, R.: Unsupervised Learning of Morphology for Building Lexicon for a Highly Inflectional Language. In: The Sixth Workshop of the ACL Special Interest Group in Computational Phonology, SIGPHON (2002).
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Snover, M.G.: An Unsupervised Knowledge Free Algorithm for the Learning of Morphology in Natural Languages. M.S. Thesis. Computer Science, Sever Institute of Technology, Washington University, Saint Louis, Missouri (2002).
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Stump, G.T.: Inflection. In: Spencer, A., Zwicky, A.M. (eds.) The Handbook of Morphology, Blackwell Publishers Inc., Malden (2001).
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Wicentowski, R.: Modeling and Learning Multilingual Inflectional Morphology in a Minimally Supervised Framework. Ph.D. Thesis. Johns Hopkins University, Baltimore, Maryland (2002).
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Cited By

View all
  • (2012)Optimal stem identification in presence of suffix listProceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I10.1007/978-3-642-28604-9_8(92-103)Online publication date: 11-Mar-2012
  • (2011)Combining morpheme-based machine translation with post-processing morpheme predictionProceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 110.5555/2002472.2002477(32-42)Online publication date: 19-Jun-2011
  • (2010)EMMAProceedings of the 23rd International Conference on Computational Linguistics10.5555/1873781.1873897(1029-1037)Online publication date: 23-Aug-2010
  • Show More Cited By

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      Published In

      cover image Guide Proceedings
      CLEF'08: Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
      September 2008
      1002 pages
      ISBN:3642044468

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      Springer-Verlag

      Berlin, Heidelberg

      Publication History

      Published: 17 September 2008

      Author Tags

      1. morphology induction
      2. natural language morphology
      3. unsupervised learning

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      View all
      • (2012)Optimal stem identification in presence of suffix listProceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I10.1007/978-3-642-28604-9_8(92-103)Online publication date: 11-Mar-2012
      • (2011)Combining morpheme-based machine translation with post-processing morpheme predictionProceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 110.5555/2002472.2002477(32-42)Online publication date: 19-Jun-2011
      • (2010)EMMAProceedings of the 23rd International Conference on Computational Linguistics10.5555/1873781.1873897(1029-1037)Online publication date: 23-Aug-2010
      • (2010)Inducing Morphemes Using Light KnowledgeACM Transactions on Asian Language Information Processing10.1145/1731035.17310389:1(1-38)Online publication date: 1-Mar-2010
      • (2008)Overview of Morpho challenge 2008Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access10.5555/1813809.1813957(951-966)Online publication date: 17-Sep-2008

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