Linguist · Psycholinguist · AI evaluation researcher

Language, cognition,
and AI.

I study how people represent meaning—and how language technologies can be evaluated with the same linguistic, cultural, and methodological care.

10+years in academic and applied research
TR · ENcross-linguistic research programme
21TurkBench evaluation subtasks
PhDlinguistics, Hacettepe University

Meaning is both a human phenomenon and an evaluation problem.

I am a PhD-trained linguist and AI evaluation researcher in the Department of Linguistics at Istanbul University. My work connects morphosyntax, semantics, cognitive linguistics, and psycholinguistics with multilingual NLP and responsible AI.

From 15 January 2025 to 14 January 2026, I was a TÜBİTAK-funded Visiting Postdoctoral Fellow at the University of Birmingham, working across Psychology and Linguistics & Communication. The project examines how fictive-motion expressions in Turkish and English shape real-time language processing and spatial mental simulation.

Alongside experimental research, I work on Turkish LLM benchmarking, human and model-based quality evaluation, prompt and rubric design, annotation quality, and responsible AI. My applied experience spans academic benchmarking and remote AI/data roles; see the complete experience record ↗.

Three connected lines of inquiry

Human experiments, linguistic theory, and model evaluation inform one another throughout my work.

01

Language and mental simulation

How grammatical and lexical choices shape the mental simulation of motion, space, and static scenes across Turkish and English.

  • Eye tracking
  • Self-paced reading
  • Elicitation
02

Multilingual AI evaluation

How culturally and linguistically grounded benchmarks expose capability gaps that aggregate model scores often hide.

  • Benchmark design
  • Human evaluation
  • LLM-as-a-judge
03

Responsible human-centred AI

How people understand bias, trust, accuracy, and responsibility—and how those views should inform evaluation practice.

  • Survey research
  • Mixed methods
  • Rubric design
Featured programme
2025–2026

Mental simulation, space and language

TÜBİTAK-funded research combining eye tracking, self-paced reading, and picture elicitation.

Selected publications

Complete publication list

TurkBench: A Benchmark for Evaluating Turkish Large Language Models

Toraman et al. · SIGTURK 2026 · Association for Computational Linguistics

ACL Anthology ↗

On trust, bias, and responsibility

Topraksoy · AI & Society 41(4)

DOI ↗

Evaluating the Quality of Benchmark Datasets for Low-Resource Languages

Umutlu et al. · GEM² 2025 · Association for Computational Linguistics

ACL Anthology ↗

Fictive Motion and Visualisation: Dynamic Spatial Perception in Turkish

Topraksoy · Dilbilim Dergisi — Journal of Linguistics

DOI ↗

From linguistic theory to evidence-led analysis

My teaching moves from clear concepts to guided analysis of authentic language data, helping students formulate questions, select evidence, and defend interpretations.

01

Language and Gender

Discourse, identity, representation, and power

02

Linguistic Typology

Cross-linguistic patterns and variation

03

Applications in Linguistics

Research design and applied analysis

04

Linguistic Texts in English

Critical academic reading in linguistics

05

Cognitive Linguistics

Language, cognition, categorisation, space, and meaning

Academic foundations

PhD in Linguistics

Hacettepe University · GPA 3.57/4.00 · Motion Predicates in Turkish: A Morpho-Syntactic Treatment

MA in Linguistics

Hacettepe University · GPA 3.64/4.00 · personal name signs in Turkish Sign Language (TİD)

BA in English Linguistics

Hacettepe University · GPA 3.85/4.00 · Top Student of the Faculty Award

Visiting Researcher

Syracuse University · two doctoral research visits supervised by Prof. Jaklin Kornfilt

Research · collaboration · speaking

Let’s connect ideas across language, cognition, and AI.