Integrating Turkish Wordnet KeNet to Princeton WordNet: The case of one-to-many correspondences
dc.authorid | 0000-0001-5838-4615 | |
dc.authorid | 0000-0002-7326-0423 | |
dc.contributor.author | Bakay, Özge | en_US |
dc.contributor.author | Ergelen, Özlem | en_US |
dc.contributor.author | Yıldız, Olcay Taner | en_US |
dc.date.accessioned | 2020-02-18T03:39:05Z | |
dc.date.available | 2020-02-18T03:39:05Z | |
dc.date.issued | 2019-10 | |
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 paper, we introduce a novel approach of forming interlingual relations between multilingual wordnets. We have mapped Turkish senses in KeNet with their corresponding senses in Princeton WordNet by drawing one-To-many correspondences. As a result of language-specific properties, one synset in one language is matched with multiple synsets in the other language in some cases. Our method of integrating KeNet into a multilingual network also included mapping the most frequent 5000 senses in English with their equivalent senses in Turkish. What we demonstrate is that one-To-many interlingual correspondances are necessary to include in mappings both from Turkish-To-English and English-To-Turkish. Furthermore, one-To-many mappings give us insights into the semantic relations to be constructed in Turkish, such as hypernymy. | en_US |
dc.description.version | Publisher's Version | en_US |
dc.identifier.citation | Bakay, O., Ergelen, O. & Yıldız, O. T. (2019). Integrating turkish wordnet KeNet to princeton WordNet: The case of one-to-many correspondences. Paper presented at the 2019 Innovations in Intelligent Systems and Applications Conference (ASYU), 418-422. doi:10.1109/ASYU48272.2019.8946386 | en_US |
dc.identifier.doi | 10.1109/ASYU48272.2019.8946386 | |
dc.identifier.endpage | 422 | |
dc.identifier.isbn | 9781728128689 | |
dc.identifier.isbn | 9781728128696 | |
dc.identifier.scopus | 2-s2.0-85078340911 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | 418 | |
dc.identifier.uri | https://hdl.handle.net/11729/2247 | |
dc.identifier.uri | https://dx.doi.org/10.1109/ASYU48272.2019.8946386 | |
dc.identifier.wos | WOS:000631252400078 | |
dc.identifier.wosquality | N/A | |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | Conference Proceedings Citation Index – Science (CPCI-S) | en_US |
dc.institutionauthor | Yıldız, Olcay Taner | en_US |
dc.institutionauthorid | 0000-0001-5838-4615 | |
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 | 2019 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 | English-to-Turkish | en_US |
dc.subject | Intelligent systems | en_US |
dc.subject | Interlingual relations | en_US |
dc.subject | KeNet | en_US |
dc.subject | Language translation | en_US |
dc.subject | Mapping | en_US |
dc.subject | Multilingual network | en_US |
dc.subject | Multilingual wordnets | en_US |
dc.subject | Natural language processing | en_US |
dc.subject | Natural language processing systems | en_US |
dc.subject | One-to-many mapping | en_US |
dc.subject | Ontology | en_US |
dc.subject | Princeton WordNet | en_US |
dc.subject | Semantic relations | en_US |
dc.subject | Semantics | en_US |
dc.subject | Specific properties | en_US |
dc.subject | Synsets | en_US |
dc.subject | Text analysis | en_US |
dc.subject | Turkish | en_US |
dc.subject | Turkish senses | en_US |
dc.subject | Turkish wordnet KeNet | en_US |
dc.subject | Turkish-to-English | en_US |
dc.subject | Word sense | en_US |
dc.subject | Wordnet | en_US |
dc.title | Integrating Turkish Wordnet KeNet to Princeton WordNet: The case of one-to-many correspondences | en_US |
dc.type | Conference Object | en_US |
dspace.entity.type | Publication |