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2000

Statistical Morphological Disambiguation for Agglutinative Languages

9 years 3 months ago
Statistical Morphological Disambiguation for Agglutinative Languages
We present statistical models for morphological disambiguation in agglutinative languages, with a specific application to Turkish. Turkish presents an interesting problem for statistical models as the potential tag set size is very large because of the productive derivational morphology. We propose to handle this by breaking up the morhosyntactic tags into inflectional groups, each of which contains the inflectional features for each (intermediate) derived form. Our statistical models score the probability of each morhosyntactic tag by considering statistics over the individual inflectional groups and surface roots in trigram models. Among the four models that we have developed and tested, the simplest model ignoring the local morphotactics within words performs the best. Our best trigram model performs with 93.95% accuracy on our test data getting all the morhosyntactic and semantic features correct. If we are just interested in syntactically relevant features and ignore a very small ...
Dilek Z. Hakkani-Tür, Kemal Oflazer, Gök
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where COLING
Authors Dilek Z. Hakkani-Tür, Kemal Oflazer, Gökhan Tür
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