Integrating Turkish Wordnet KeNet to Princeton WordNet: The case of one-to-many correspondences

Autor: Özge Bakay, Olcay Taner Yildiz, Ozlem Ergelen
Přispěvatelé: Işık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Işık University, Faculty of Engineering, Department of Computer Engineering, Yıldız, Olcay Taner
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Popis: 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. Publisher's Version
Databáze: OpenAIRE