Browsing by Author "Kara, N."

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Placeholder
    Conference paperPublicationMetadata only
    Building the Turkish FrameNet
    (Global WordNet Association, 2021) Marşan, B.; Kara, N.; Özçelik, M.; Arıcan, B. N.; Cesur, N.; Kuzgun, A.; Sanıyar, E.; Yıldız, Olcay Taner; Computer Science; YILDIZ, Olcay Taner
    FrameNet (Lowe, 1997; Baker et al., 1998; Fillmore and Atkins, 1998; Johnson et al., 2001) is a computational lexicography project that aims to offer insight into the semantic relationships between predicate and arguments. Having uses in many NLP applications, FrameNet has proven itself as a valuable resource. The main goal of this study is laying the foundation for building a comprehensive and cohesive Turkish FrameNet that is compatible with other resources like PropBank (Kara et al., 2020) or WordNet (Bakay et al., 2019; Ehsani, 2018; Ehsani et al., 2018; Parlar et al., 2019; Bakay et al., 2020) in the Turkish language.
  • Thumbnail Image
    Conference paperPublicationOpen Access
    Morpholex Turkish: A morphological lexicon for Turkish
    (European Language Resources Association (ELRA), 2022) Arıcan, B. N.; Kuzgun, A.; Marşan, B.; Aslan, D. B.; Sanıyar, E.; Cesur, N.; Kara, N.; Kuyrukçu, O.; Özçelik, M.; Yenice, A. B.; Doğan, M.; Oksal, C.; Ercan, G.; Yıldız, Olcay Taner; Computer Science; YILDIZ, Olcay Taner
    MorphoLex is a study in which root, prefix and suffixes of words are analyzed. With MorphoLex, many words can be analyzed according to certain rules and a useful database can be created. Due to the fact that Turkish is an agglutinative language and the richness of its language structure, it offers different analyzes and results from previous studies in MorphoLex. In this study, we revealed the process of creating a database with 48,472 words and the results of the differences in language structure.