İrem Yurdakul
@iremyurdakul
MA Computational Linguist skilled in NLP, corpus analysis, and multilingual annotation.
What I'm looking for
I am an MA Computational Linguist with a dual background in English Linguistics and Computer Programming, experienced in NLP, corpus analysis, transcription, and data annotation. I have completed applied projects annotating linguistic datasets, performing corpus analyses using R and Python, and working on multilingual transcription and localisation for LinkedIn texts.
I combine hands-on programming skills (Python, R, C++, C#, SQL) with linguistic expertise in syntax, semantics, discourse, phonology, and localization, and I have taught English while developing instructional materials. I seek interdisciplinary roles that bridge Digital Humanities, Natural Language Processing, and language-technology research.
Experience
Work history, roles, and key accomplishments
Computational Linguist
University of Göttingen
Jan 2023 - Present (2 years 9 months)
Annotated linguistic datasets and conducted small-scale corpus analyses using Python and R to support NLP and transcription projects; applied localisation methods to multilingual texts. Contributed to academic NLP/annotation projects (2023–2025) and supported research activities.
Education
Degrees, certifications, and relevant coursework
University of Göttingen
Master of Arts, Linguistics
Activities and societies: NLP & annotation projects (2023–2025), corpus analysis using R and Python
MA Linguistics student with a dual background in English Linguistics and Computer Programming, experienced in NLP, corpus analysis, transcription, and data annotation.
Atatürk University
Associate of Arts, Computer Programming
2020 - 2023
Grade: 3.25
Associate degree in Computer Programming covering programming languages and practical software skills.
Mersin University
Bachelor of Arts, English Language and Linguistics
2018 - 2023
Grade: 3.43
Bachelor of Arts in English Language and Linguistics completed with coursework in linguistics and language studies.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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