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1
Unsupervised models for morpheme segmentation and morphology learning
In: http://nlp.cs.swarthmore.edu/~richardw/papers/creutz2005-unsupervised.draft.pdf (2007)
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2
K.: Unsupervised models for morpheme segmentation and morphology learning
In: http://users.ics.aalto.fi/krista/papers/creutz07acmtslp.pdf (2007)
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3
Unsupervised models for morpheme segmentation and morphology learning
In: http://www.cs.swarthmore.edu/~richardw/cs65-f08/litreview/joon-trilok.pdf (2007)
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4
Inducing the Morphological Lexicon of a Natural Language from Unannotated Text
In: http://www.cis.hut.fi/mcreutz/papers/Creutz05akrr.pdf (2005)
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5
Morfessor and hutmegs: Unsupervised morpheme segmentation for highlyinflecting and compounding languages
In: http://www.cis.hut.fi/krista/papers/Creutz05hlt.pdf (2005)
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6
Morfessor and hutmegs: Unsupervised morpheme segmentation for highlyinflecting and compounding languages
In: http://www.cis.hut.fi/krista/papers/Creutz05hlt.ps (2005)
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7
Unsupervised morpheme segmentation and morphology induction from text corpora using Morfessor 1.0
In: http://www.cis.hut.fi/krista/papers/Creutz05tr.pdf (2005)
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8
Induction of a simple morphology for highly-inflecting languages
In: http://lib.tkk.fi/diss/2006/isbn9512282119/article3.pdf (2004)
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9
2004. Induction of a simple morphology for highly-inflecting languages
In: http://www.cis.hut.fi/krista/papers/Creutz04.morpho.pdf (2004)
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10
2004. Induction of a simple morphology for highly-inflecting languages
In: http://www.cis.hut.fi/krista/papers/Creutz04.morpho.ps (2004)
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11
Data analysis of conceptual similarities of Finnish verbs
In: http://www.hfac.gmu.edu/~cogsci/program/./final_ind_files/lagus_airola_creutz.pdf (2002)
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12
Data analysis of conceptual similarities of Finnish verbs
In: http://www.cis.hut.fi/krista/papers/Lagus02.cogsci.ps (2002)
Abstract: The study of the conceptual representations that underlie the use of language is a problem motivated from both a cognitive research point of view and that of construing language models for various language processing tasks. In this work, we organized 600 Finnish verbs using the SOM algorithm. Three experiments were conducted using dierent features to encode the verbs: morphosyntactic properties, individual nouns, and noun categories in the context of the verb. In general, the morphosyntactic properties seem to draw attention to semantic roles, whereas nouns as features seem to highlight clusters formed on grounds of topics in the text.
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.7452
http://www.cis.hut.fi/krista/papers/Lagus02.cogsci.ps
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13
LATENT LINGUISTIC CODES FOR MORPHEMES USING INDEPENDENT COMPONENT ANALYSIS
In: http://www.cis.hut.fi/krista/papers/Lagus05ncpw9.pdf
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14
Inducing the morphological lexicon of a natural language from unannotated text
In: http://users.ics.aalto.fi/krista/papers/Creutz05akrr.pdf
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15
2004. Induction of a simple morphology for highly-inflecting languages
In: http://nlp.cs.swarthmore.edu/~richardw/papers/creutz2004-induction.pdf
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