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1
Morpho Challenge competition 2005-2010: Evaluations and results
In: http://www.aclweb.org/anthology-new/W/W10/W10-2211.pdf (2010)
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2
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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3
K.: Unsupervised models for morpheme segmentation and morphology learning
In: http://users.ics.aalto.fi/krista/papers/creutz07acmtslp.pdf (2007)
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4
Unsupervised models for morpheme segmentation and morphology learning
In: http://www.cs.swarthmore.edu/~richardw/cs65-f08/litreview/joon-trilok.pdf (2007)
Abstract: We present a model family called Morfessor for the unsupervised induction of a simple morphology from raw text data. The model is formulated in a probabilistic maximum a posteriori framework. Morfessor can handle highly inflecting and compounding languages where words can consist of lengthy sequences of morphemes. A lexicon of word segments, called morphs, is induced from the data. The lexicon stores information about both the usage and form of the morphs. Several instances of the model are evaluated quantitatively in a morpheme segmentation task on different sized sets of Finnish as well as English data. Morfessor is shown to perform very well compared to a widely known benchmark algorithm, in particular on Finnish data.
Keyword: Algorithms; Efficient storage; Experimentation; highly inflecting and compounding languages; Information theory General Terms; Languages; Performance Additional Key Words and Phrases
URL: http://www.cs.swarthmore.edu/~richardw/cs65-f08/litreview/joon-trilok.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.9635
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5
Simulating Meaning Negotiation Using Observational Language Games
In: http://www.cis.hut.fi/krista/papers/Lindh-Knuutila06EELC.pdf (2006)
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6
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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7
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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8
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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9
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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10
Adaptive And Statistical Approaches In
In: http://www.cis.hut.fi/~krista/papers/Honkela05conceptTR.pdf (2005)
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11
Induction of a simple morphology for highly-inflecting languages
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
In: http://www.cis.hut.fi/krista/papers/Creutz04.morpho.pdf (2004)
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13
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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14
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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15
Data analysis of conceptual similarities of Finnish verbs
In: http://www.cis.hut.fi/krista/papers/Lagus02.cogsci.ps (2002)
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16
Large Vocabulary Statistical Language Modeling for Continuous Speech Recognition in Finnish
In: http://www.cis.hut.fi/krista/papers/Eurospeech01.ps (2001)
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17
Analysis of functional similarities of Finnish verbs using the self-organizing map
In: http://www.cis.hut.fi/krista/papers/Lagus01.esslli.ps (2001)
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18
LATENT LINGUISTIC CODES FOR MORPHEMES USING INDEPENDENT COMPONENT ANALYSIS
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
In: http://users.ics.aalto.fi/krista/papers/virpioja2011icann.pdf
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20
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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