activity
20202025
most citedEnhancements to the BOUN Treebank Reflecting the Agglutinative Nature of Turkish

5 citations · 13 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2025★ 3 cited

Building Foundations for Natural Language Processing of Historical Turkish: Resources and Models

Şaziye Betül Özateş, Tarık Emre Tıraş, Ece Elif Adak +4

This paper introduces foundational resources and models for natural language processing (NLP) of historical Turkish, a domain that has remained underexplored in computational lingu…

cs.CL2024

Dependency Annotation of Ottoman Turkish with Multilingual BERT

Şaziye Betül Özateş, Tarık Emre Tıraş, Efe Eren Genç +1

This study introduces a pretrained large language model-based annotation methodology for the first de dency treebank in Ottoman Turkish. Our experimental results show that, iterati…

cs.CL2022★ 5 cited

Enhancements to the BOUN Treebank Reflecting the Agglutinative Nature of Turkish

Büşra Marşan, Salih Furkan Akkurt, Muhammet Şen +7

In this study, we aim to offer linguistically motivated solutions to resolve the issues of the lack of representation of null morphemes, highly productive derivational processes, a…

cs.CL2020★ 5 cited

A Hybrid Approach to Dependency Parsing: Combining Rules and Morphology with Deep Learning

Şaziye Betül Özateş, Arzucan Özgür, Tunga Güngör +1

Fully data-driven, deep learning-based models are usually designed as language-independent and have been shown to be successful for many natural language processing tasks. However,…

cs.CL2020

Resources for Turkish Dependency Parsing: Introducing the BOUN Treebank and the BoAT Annotation Tool

Utku Türk, Furkan Atmaca, Şaziye Betül Özateş +6

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 guidel…