A Hybrid Deep Dependency Parsing Approach Enhanced With Rules and Morphology: A Case Study for Turkish-Reference-Cited by-同舟云学术

A Hybrid Deep Dependency Parsing Approach Enhanced With Rules and Morphology: A Case Study for Turkish

Published:2022 Issue: Volume:10 Page:93867-93886
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ozates Saziye Betul¹^ORCID,Ozgur Arzucan¹,Gungor Tunga¹^ORCID,Basaran Balkiz Ozturk²

Affiliation:

1. Department of Computer Engineering, Boğaziçi University, Bebek, İstanbul, Turkey

2. Department of Linguistics, Boğaziçi University, Bebek, İstanbul, Turkey

Funder

Turkish Directorate of Strategy and Budget

Scientific and Technological Research Council of Turkey

TÜBİTAK

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09869804.pdf?arnumber=9869804

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3. A grammar-book treebank of Turkish;çöltekin;Proc 14th Workshop Treebanks Linguistic Theories (TLT),2015

4. Implementing universal dependency, morphology, and multiword expression annotation standards for Turkish language processing;sulubacak;Turkish J Elect Eng Comput Sci,2018

5. Universal dependencies for Turkish;sulubacak;Proc COLING,2016

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