| 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/ |
