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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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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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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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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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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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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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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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Abstract:
Abstract. A central question in the study of the mental lexicon is how morphologically complex words are processed. We consider this question from the viewpoint of statistical models of morphology. As an indicator of the mental processing cost in the brain, we use reaction times to words in a visual lexical decision task on Finnish nouns. Statistical correlation between a model and reaction times is employed as a goodness measure of the model. In particular, we study Morfessor, an unsupervised method for learning concatenative morphology. The results for a set of inflected and monomorphemic Finnish nouns reveal that the probabilities given by Morfessor, especially the Categories-MAP version, show considerably higher correlations to the reaction times than simple word statistics such as frequency, morphological family size, or length. These correlations are also higher than when any individual test subject is viewed as a model. 1
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.506 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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