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Morpho Challenge competition 2005-2010: Evaluations and results
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In: http://www.aclweb.org/anthology-new/W/W10/W10-2211.pdf (2010)
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Unsupervised models for morpheme segmentation and morphology learning
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In: http://nlp.cs.swarthmore.edu/~richardw/papers/creutz2005-unsupervised.draft.pdf (2007)
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K.: Unsupervised models for morpheme segmentation and morphology learning
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In: http://users.ics.aalto.fi/krista/papers/creutz07acmtslp.pdf (2007)
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Unsupervised models for morpheme segmentation and morphology learning
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In: http://www.cs.swarthmore.edu/~richardw/cs65-f08/litreview/joon-trilok.pdf (2007)
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Simulating Meaning Negotiation Using Observational Language Games
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In: http://www.cis.hut.fi/krista/papers/Lindh-Knuutila06EELC.pdf (2006)
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Inducing the Morphological Lexicon of a Natural Language from Unannotated Text
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In: http://www.cis.hut.fi/mcreutz/papers/Creutz05akrr.pdf (2005)
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Morfessor and hutmegs: Unsupervised morpheme segmentation for highlyinflecting and compounding languages
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In: http://www.cis.hut.fi/krista/papers/Creutz05hlt.pdf (2005)
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Morfessor and hutmegs: Unsupervised morpheme segmentation for highlyinflecting and compounding languages
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In: http://www.cis.hut.fi/krista/papers/Creutz05hlt.ps (2005)
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| 9 |
Unsupervised morpheme segmentation and morphology induction from text corpora using Morfessor 1.0
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In: http://www.cis.hut.fi/krista/papers/Creutz05tr.pdf (2005)
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| 10 |
Adaptive And Statistical Approaches In
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In: http://www.cis.hut.fi/~krista/papers/Honkela05conceptTR.pdf (2005)
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Induction of a simple morphology for highly-inflecting languages
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In: http://lib.tkk.fi/diss/2006/isbn9512282119/article3.pdf (2004)
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| 12 |
2004. Induction of a simple morphology for highly-inflecting languages
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In: http://www.cis.hut.fi/krista/papers/Creutz04.morpho.pdf (2004)
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2004. Induction of a simple morphology for highly-inflecting languages
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In: http://www.cis.hut.fi/krista/papers/Creutz04.morpho.ps (2004)
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Abstract:
This paper presents an algorithm for the unsupervised learning of a simple morphology of a natural language from raw text. A generative probabilistic model is applied to segment word forms into morphs. The morphs are assumed to be generated by one of three categories, namely prefix, suffix, or stem, and we make use of some observed asymmetries between these categories. The model learns a word structure, where words are allowed to consist of lengthy sequences of alternating stems and affixes, which makes the model suitable for highly-inflecting languages. The ability of the algorithm to find real morpheme boundaries is evaluated against a gold standard for both Finnish and English. In comparison with a state-of-the-art algorithm the new algorithm performs best on the Finnish data, and on roughly equal level on the English data. 1
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URL: http://www.cis.hut.fi/krista/papers/Creutz04.morpho.ps
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.77.2487
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| 14 |
Data analysis of conceptual similarities of Finnish verbs
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In: http://www.hfac.gmu.edu/~cogsci/program/./final_ind_files/lagus_airola_creutz.pdf (2002)
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| 15 |
Data analysis of conceptual similarities of Finnish verbs
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In: http://www.cis.hut.fi/krista/papers/Lagus02.cogsci.ps (2002)
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Large Vocabulary Statistical Language Modeling for Continuous Speech Recognition in Finnish
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In: http://www.cis.hut.fi/krista/papers/Eurospeech01.ps (2001)
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Analysis of functional similarities of Finnish verbs using the self-organizing map
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In: http://www.cis.hut.fi/krista/papers/Lagus01.esslli.ps (2001)
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LATENT LINGUISTIC CODES FOR MORPHEMES USING INDEPENDENT COMPONENT ANALYSIS
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In: http://www.cis.hut.fi/krista/papers/Lagus05ncpw9.pdf
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| 19 |
Predicting Reaction Times in Word Recognition by Unsupervised Learning of Morphology
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In: http://users.ics.aalto.fi/krista/papers/virpioja2011icann.pdf
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Inducing the morphological lexicon of a natural language from unannotated text
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In: http://users.ics.aalto.fi/krista/papers/Creutz05akrr.pdf
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