Resources for Turkish dependency parsing: introducing the BOUN Treebank and the BoAT annotation tool
Language Resources and Evaluation, cilt.56, sa.1, ss.259-307, 2022 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 56 Sayı: 1
- Basım Tarihi: 2022
- Doi Numarası: 10.1007/s10579-021-09558-0
- Dergi Adı: Language Resources and Evaluation
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, FRANCIS, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Computer & Applied Sciences, EBSCO Education Source, Educational research abstracts (ERA), Humanities Abstracts, INSPEC, Linguistic Bibliography, Linguistics & Language Behavior Abstracts, Metadex, MLA - Modern Language Association Database, Civil Engineering Abstracts
- Sayfa Sayıları: ss.259-307
- Anahtar Kelimeler: Turkish, Annotation, Treebanks, Dependency syntax, Universal dependencies, Resources
- Boğaziçi Üniversitesi Adresli: Evet
Özet
In this paper, we introduce the resources that we developed for Turkish dependency parsing, which include a novel manually annotated treebank (BOUN Treebank), along with the guidelines we adopted, and a new annotation tool (BoAT). The manual annotation process that we employed was shaped and implemented by a team of four linguists and five Natural Language Processing (NLP) specialists. Decisions regarding the annotation of the BOUN Treebank were made in line with the Universal Dependencies (UD) framework as well as our recent efforts for unifying the Turkish UD treebanks through manual re-annotation. To the best of our knowledge, the BOUN Treebank is the largest Turkish UD treebank. It contains a total of 9761 sentences from various topics including biographical texts, national newspapers, instructional texts, popular culture articles, and essays. In addition, we report the parsing results of a state-of-the-art dependency parser obtained over the BOUN Treebank as well as two other treebanks in Turkish. Our results demonstrate that the unification of the Turkish annotation scheme and the introduction of a more comprehensive treebank lead to improved performance with regards to dependency parsing.