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Unsupervised Morphology Induction Using Morfessor

  • Conference paper
Finite-State Methods and Natural Language Processing (FSMNLP 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4002))

Abstract

We present Morfessor, an unsupervised algorithm and software that induces a simple morphology of a natural language from a large corpus. Morfessor simultaneously builds a morph lexicon and represents the corpus with the induced lexicon using a probabilistic maximum a posteriori model.

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References

  1. Creutz, M., Lagus, K.: Inducing the morphological lexicon of a natural language from unannotated text. In: Proceedings of the International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning (AKRR 2005), Espoo, Finland, pp. 106–113 (2005)

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  2. Goldsmith, J.: Unsupervised learning of the morphology of a natural language. Computational Linguistics 27, 153–198 (2001)

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  3. Hirsimäki, T., Creutz, M., Siivola, V., Kurimo, M., Virpioja, S., Pylkkönen, J.: Unlimited vocabulary speech recognition with morph language models applied to finnish. Computer Speech and Language (in press, 2006)

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  4. Hacioglu, K., Pellom, B., Ciloglu, T., Ozturk, O., Kurimo, M., Creutz, M.: On lexicon creation for Turkish LVCSR. In: Proc. Eurospeech 2003, Geneva, Switzerland, pp. 1165–1168 (2003)

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  5. Creutz, M., Lagus, K.: Unsupervised discovery of morphemes. In: Proc. Workshop on Morphological and Phonological Learning of ACL 2002, Philadelphia, Pennsylvania, USA, pp. 21–30 (2002)

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  6. Creutz, M., Lagus, K.: 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 (2005)

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© 2006 Springer-Verlag Berlin Heidelberg

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Creutz, M., Lagus, K., Virpioja, S. (2006). Unsupervised Morphology Induction Using Morfessor. In: Yli-Jyrä, A., Karttunen, L., Karhumäki, J. (eds) Finite-State Methods and Natural Language Processing. FSMNLP 2005. Lecture Notes in Computer Science(), vol 4002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11780885_34

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  • DOI: https://doi.org/10.1007/11780885_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35467-3

  • Online ISBN: 978-3-540-35469-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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