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dc.contributor.authorKumyol, Serkan
dc.contributor.authorCan, Burcu
dc.date.accessioned2020-10-22T11:16:54Z
dc.date.available2020-10-22T11:16:54Z
dc.date.issued2017-03-13
dc.identifier.citationKumyol, S. and Can, B. (2016) Modeling morpheme triplets with a three-level hierarchical Dirichlet process, 2016 International Conference on Asian Language Processing (IALP), 21-23 November, 2016, Tainan, Taiwan.en
dc.identifier.issn2159-1962en
dc.identifier.doi10.1109/ialp.2016.7876007en
dc.identifier.urihttp://hdl.handle.net/2436/623731
dc.descriptionThis is an accepted manuscript of an article published by IEEE in 2016 International Conference on Asian Language Processing (IALP) on 13/03/2017, available online: https://ieeexplore.ieee.org/document/7876007 The accepted version of the publication may differ from the final published version.en
dc.description.abstractMorphemes are not independent units and attached to each other based on morphotactics. However, they are assumed to be independent from each other to cope with the complexity in most of the models in the literature. We introduce a language independent model for unsupervised morphological segmentation using hierarchical Dirichlet process (HDP). We model the morpheme dependencies in terms of morpheme trigrams in each word. Trigrams, bigrams and unigrams are modeled within a three-level HDP, where the trigram Dirichlet process (DP) uses the bigram DP and bigram DP uses unigram DP as the base distribution. The results show that modeling morpheme dependencies improve the F-measure noticeably in English, Turkish and Finnish.en
dc.formatapplication/pdfen
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttps://ieeexplore.ieee.org/document/7876007en
dc.subjectmorphological segmentationen
dc.subjectunsupervised learningen
dc.subjectnon-parametric Bayesian methodsen
dc.subjectDirichlet processen
dc.titleModeling morpheme triplets with a three-level hierarchical Dirichlet processen
dc.typeConference contributionen
dc.identifier.eissn2159-1970
dc.date.updated2020-10-09T11:57:08Z
dc.conference.name2016 International Conference on Asian Language Processing (IALP)
dc.conference.locationTainan, Taiwan
pubs.finish-date2016-11-23
pubs.start-date2016-11-21
dc.date.accepted2016-09-30
rioxxterms.funderHacettepe Universityen
rioxxterms.identifier.projectUOW22102020BCen
rioxxterms.versionAMen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
rioxxterms.licenseref.startdate2020-10-22en
dc.source.beginpage366
dc.source.endpage369
dc.description.versionPublished version
refterms.dateFCD2020-10-22T11:14:03Z
refterms.versionFCDAM
refterms.dateFOA2020-10-22T11:16:54Z


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