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TRMOR: a finite-state-based morphological analyzer for Turkish   
Yazarlar
Dr. Öğr. Üyesi Ayla KAYABAŞ
Kırşehir Ahi Evran Üniversitesi, Türkiye
Özet
Morphological analysis is an important component of natural language processing systems like spellingcorrection tools, parsers, machine translation systems, and dictionary tools. In this paper, we present TRMOR, amorphological analyzer for Turkish, which uses the SFST tool (Stuttgart Finite-State Transducer). TRMOR can be freelyused for academic research (see http://www.cis.uni-muenchen.de/ schmid/tools/SFST/). It covers a large part of Turkishmorphology including inflection, derivation, and some compounding. It uses morphotactic and morphophonological rulesand a stem lexicon. We describe the morphological structure of Turkish, explain the phonological and morphological rulesimplemented in TRMOR, evaluate the system, and test it in special cases. The evaluation of TRMOR was executedon gold-standard words. One thousand words were randomly selected from Wikipedia word lists. For those words,we achieved gold-standard analysis. TRMOR has 94.12% precision on these 1000 words that were randomly selectedfrom Wikipedia word lists. Morphological analyses of Turkish are prepared for the gold-standard version since, to ourknowledge, there is no gold-standard segmentation available for Turkish morphological analyzers for noncommercialpurposes.
Anahtar Kelimeler
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı Turkish Journal of Electrical Engineering & Computer Sciences
Dergi ISSN 1300-0632
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili Türkçe
Basım Tarihi 01-2022
Doi Numarası 10.3906/elk-1902-125
Makale Linki https://journals.tubitak.gov.tr/elektrik/vol27/iss5/41/