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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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Abstract:
Statistical language modeling (SLM) is an essential part in any large-vocabulary continuous speech recognition (LVCSR) system. The development of the standard SLM methods has been strongly affected by the goals of LVCSR in English. The structure of Finnish is substantially different from English, so if the standard SLMs are directly applied, the success is by no means granted. In this paper we describe our first attempts of building a LVCSR for Finnish and the new SLMs that we have tried. One of our objective has been the indexing and recognition of broadcast news, so special issues of our interest are topic detection, word stemming and modeling words that are poorly covered in the training data. Our new methods are based on neural computing using the self-organizing map (SOM) which has recently been shown to successfully extract and approximate latent semantic structures from massive text collections. 1.
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URL: http://www.cis.hut.fi/krista/papers/Eurospeech01.ps http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.8359
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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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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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