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Volumn , Issue , 2014, Pages 1177-1185

Morfessor flat Cat: An HMM-Based method for unsupervised and semi-supervised learning of morphology

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; LEARNING ALGORITHMS; LINGUISTICS; MARKOV PROCESSES; SUPERVISED LEARNING;

EID: 84959912577     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (79)

References (18)
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    • Mathias Creutz and Krista Lagus. 2002. Unsupervised discovery of morphemes. In Mike Maxwell, editor, Proceedings of the ACL-02Workshop on Morphological and Phonological Learning, pages 21-30, Philadelphia, PA, USA, July. Association for Computational Linguistics.
    • (2002) Proceedings of the ACL-02Workshop on Morphological and Phonological Learning , pp. 21-30
    • Creutz, M.1    Lagus, K.2
  • 4
    • 33749663511 scopus 로고    scopus 로고
    • Inducing the morphological lexicon of a natural language from un annotated text
    • Timo Honkela, Ville Kononen, Matti Polla, and Olli Simula, editors, Espoo, Finland, June. Helsinki University of Technology, Laboratory of Computer and Information Science
    • Mathias Creutz and Krista Lagus. 2005. Inducing the morphological lexicon of a natural language from unannotated text. In Timo Honkela, Ville Kononen, Matti Polla, 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.
    • (2005) Proceedings of AKRR'05, International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning , pp. 106-113
    • Creutz, M.1    Lagus, K.2
  • 5
    • 33846987588 scopus 로고    scopus 로고
    • Unsupervised models for morpheme segmentation and morphology learning
    • 3:1-3:34, January
    • 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.
    • (2007) ACM Transactions on Speech and Language Processing , vol.4 , Issue.1
    • Creutz, M.1    Lagus, K.2
  • 6
    • 79958736799 scopus 로고    scopus 로고
    • Unsupervised learning of morphology
    • June
    • Harald Hammarstrom and Lars Borin. 2011. Unsupervised learning of morphology. Computational Linguistics, 37(2):309-350, June.
    • (2011) Computational Linguistics , vol.37 , Issue.2 , pp. 309-350
    • Hammarstrom, H.1    Borin, L.2
  • 7
    • 70549109292 scopus 로고    scopus 로고
    • Allomorfessor: Towards unsupervised morpheme analysis
    • CLEF 2008, Aarhus, Denmark, September 17-19, 2008, Revised Selected Papers, volume 5706 of Lecture Notes in Computer Science, Springer Berlin/Heidelberg, September
    • Oskar Kohonen, Sami Virpioja, and Mikaela Klami. 2009. Allomorfessor: Towards unsupervised morpheme analysis. In Evaluating Systems for Multilingual and Multimodal Information Access: 9th Workshop of theCross-Language Evaluation Forum, CLEF 2008, Aarhus, Denmark, September 17-19, 2008, Revised Selected Papers, volume 5706 of Lecture Notes in Computer Science, pages 975-982. Springer Berlin/Heidelberg, September.
    • (2009) Evaluating Systems for Multilingual and Multimodal Information Access: 9th Workshop of TheCross-Language Evaluation Forum , pp. 975-982
    • Kohonen, O.1    Virpioja, S.2    Klami, M.3
  • 12
    • 84861499006 scopus 로고    scopus 로고
    • Overview and results of morpho challenge 2010
    • Espoo, Finland, September. Aalto University School of Science and Technology, Department of Information and Computer Science. Technical Report TKK-ICS-R37.
    • Mikko Kurimo, Sami Virpioja, and Ville T. Turunen. 2010b. 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.
    • (2010) Proceedings of the Morpho Challenge 2010 Workshop , pp. 7-24
    • Kurimo, M.1    Virpioja, S.2    Turunen, V.T.3
  • 13
    • 32844465883 scopus 로고    scopus 로고
    • Experiments using the lemur toolkit
    • Paul Ogilvie and James P Callan. 2001. Experiments using the Lemur toolkit. In TREC, volume 10, pages 103-108.
    • (2001) TREC , vol.10 , pp. 103-108
    • Ogilvie, P.1    Callan, J.P.2
  • 14
    • 84948481845 scopus 로고
    • An algorithm for suffix stripping
    • Martin F. Porter. 1980. An algorithm for suffix stripping. Program, 14(3):130-137.
    • (1980) Program , vol.14 , Issue.3 , pp. 130-137
    • Porter, M.F.1
  • 15
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    • Modeling by shortest data description
    • Jorma Rissanen. 1978. Modeling by shortest data description. Automatica, 14:465-471.
    • (1978) Automatica , vol.14 , pp. 465-471
    • Rissanen, J.1
  • 16
    • 85072755546 scopus 로고    scopus 로고
    • Supervised morphological segmentation in a low-resource learning setting using conditional random fields
    • Sofia, Bulgaria, August. Association for Computational Linguistics
    • 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, pages 29-37, Sofia, Bulgaria, August. Association for Computational Linguistics.
    • (2013) Proceedings of the Seventeenth Conference on Computational Natural Language Learning , pp. 29-37
    • Ruokolainen, T.1    Kohonen, O.2    Virpioja, S.3    Kurimo, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.