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Information Structure

Published in A Grammar of Turkish Sign Language (TİD) (SIGN-HUB Sign Language Grammar Series), 2020

In this paper, we examine various types of new information (Focus), and constituents that convey what the sentence is about (Topic) in Turkish Sign Language (TİD)

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Effects of age of acquisition and category size on signed verbal fluency

Published in Language Acquisition, 2022

Using a free-recall paradigm, we explored the effects of age of acquisition and category size on verbal fluency in Turkish Sign Language (TİD)

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Expression of Aboutness Subject Topic Constructions in Turkish Sign Language (TİD) Narratives

Published in Hrvatska revija za rehabilitacijska istraživanja, 2022

We examined data from six adult native signers of TİD and found that TİD signers mainly used nominals for reintroduced aboutness subject topics.

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Reference Tracking Strategies of Deaf Adult Signers in Turkish Sign Language

Published in Journal of Pragmatics, 2023

We investigated the reference tracking strategies among deaf adults with signing deaf parents (DoD) and adult deaf signers with non-signing hearing parents or caregivers (DoH) who had late exposure to Turkish Sign Language.

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Using Pose Estimation for Reference Tracking in Turkish Sign Language

Published in 31st Signal Processing and Communications Applications Conference (SIU 2023), 2023

We use pose estimation to automatically detect reference tracking strategies in Turkish Sign Language narratives.

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A Comparative Study with Human Data: Do LLMs Have Superficial Language Processing?

Published in 2024 32nd Signal Processing and Communications Applications Conference (SIU 2024), 2024

We compare LLM and human sentence comprehension, investigating whether LLMs exhibit superficial language processing patterns similar to good-enough processing in humans.

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LLaMA-2-Econ: Enhancing Title Generation, Abstract Classification, and Academic Q&A in Economic Research

Published in Proceedings of the 4th Workshop on Economics and Natural Language Processing (ECONLP @ ACL 2024), 2024

We fine-tune LLaMA-2 for domain-specific tasks in economic research, including title generation, abstract classification, and academic question answering.

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Good-Enough Parsing in Turkish: Task Effects in Online Processing of Role-Reversals

Published in Empirical Insights into Language and Cognition (Nobel Akademik Yayıncılık), 2025

We investigate task effects in good-enough parsing in Turkish using role-reversal sentences, demonstrating how comprehension tasks influence the depth of syntactic processing.

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When Men Bite Dogs: Testing Good-Enough Parsing in Turkish with Humans and Large Language Models

Published in Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics (CMCL @ NAACL 2025), 2025

We test good-enough parsing in Turkish using anomalous role-reversal sentences, comparing human and LLM comprehension strategies.

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Cognate and Contact-Induced Transfer Learning for Hamshentsnag: A Low-Resource and Endangered Language

Published in Proceedings of the 1st Workshop on Language Models for Underserved Communities (LM4UC @ NAACL 2025), 2025

We develop NLP resources for Hamshentsnag, a critically endangered Armenian dialect, using cognate-based and contact-induced transfer learning strategies.

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The Visual Iconicity Challenge: Evaluating Vision–Language Models on Sign Language Form–Meaning Mapping

Published in Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2026, Main), 2026

We introduce the Visual Iconicity Challenge, a benchmark for evaluating whether vision–language models can map iconic form–meaning relationships in sign languages, revealing significant limitations in current VLMs.

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