Creating a syntactically felicitous constituency treebank for Turkish
dc.authorid | 0000-0001-5838-4615 | |
dc.authorid | 0000-0001-5838-4615 | en_US |
dc.contributor.author | Kara, Neslihan | en_US |
dc.contributor.author | Marşan, Büşra | en_US |
dc.contributor.author | Özçelik, Merve | en_US |
dc.contributor.author | Arıcan, Bilge Nas | en_US |
dc.contributor.author | Kuzgun, Aslı | en_US |
dc.contributor.author | Cesur, Neslihan | en_US |
dc.contributor.author | Aslan, Deniz Baran | en_US |
dc.contributor.author | Yıldız, Olcay Taner | en_US |
dc.date.accessioned | 2020-12-28T08:43:04Z | |
dc.date.available | 2020-12-28T08:43:04Z | |
dc.date.issued | 2020-10-15 | |
dc.department | Işık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.department | Işık University, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.description.abstract | In this study, Bakay et. al [1] and Yildiz et. al.'s [2] work on Turkish constituency treebanks were developed further. Compared to the previous work, the most prominent feature of this study is the fact that every annotation and refinement process is held manually. In addition, constituency treebank created as a result of this study abides by the syntactic rules and typologic features of Turkish while the trees created by previous studies convey only the translated and simply inverted trees that completely ignore the syntactic properties of Turkish. The methodology followed in this study resulted in a significantly more accurate representation of Turkish language and simpler, relatively flatter trees. The straightforward style of trees in this study reduces the complexity and offers a better training dataset for learning algorithms. | en_US |
dc.description.version | Publisher's Version | en_US |
dc.identifier.citation | Yıldız, O. T., Kara, N., Marşan, B., Özçelik, M., Arıcan, B. N., Kuzgun, A., Cesur, N. & Aslan, D. B. (2020). Creating a syntactically felicitous constituency treebank for Turkish. Paper presented at the 2020 Innovations in Intelligent Systems and Applications Conference (ASYU), 1-6. doi:10.1109/ASYU50717.2020.9259873 | en_US |
dc.identifier.doi | 10.1109/ASYU50717.2020.9259873 | |
dc.identifier.endpage | 6 | |
dc.identifier.isbn | 9781728191362 | |
dc.identifier.isbn | 9781728191379 | |
dc.identifier.scopus | 2-s2.0-85097931861 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.startpage | 1 | |
dc.identifier.uri | https://hdl.handle.net/11729/2997 | |
dc.identifier.uri | http://dx.doi.org/10.1109/ASYU50717.2020.9259873 | |
dc.indekslendigikaynak | Scopus | en_US |
dc.institutionauthor | Yıldız, Olcay Taner | en_US |
dc.language.iso | en | en_US |
dc.peerreviewed | Yes | en_US |
dc.publicationstatus | Published | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | 2020 Innovations in Intelligent Systems and Applications Conference (ASYU) | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Constituency | en_US |
dc.subject | Constituency parsing | en_US |
dc.subject | TreeBank | en_US |
dc.subject | Intelligent systems | en_US |
dc.subject | Learning algorithms | en_US |
dc.subject | Natural language processing systems | en_US |
dc.subject | Syntactics | en_US |
dc.subject | Prominent features | en_US |
dc.subject | Refinement process | en_US |
dc.subject | Syntactic properties | en_US |
dc.subject | Syntactic rules | en_US |
dc.subject | Training dataset | en_US |
dc.subject | Treebanks | en_US |
dc.subject | Turkish language | en_US |
dc.subject | Turkishs | en_US |
dc.subject | Forestry | en_US |
dc.title | Creating a syntactically felicitous constituency treebank for Turkish | en_US |
dc.type | Conference Object | en_US |