About me

Hello!
I am Yağmur, a PhD student in NLP and teaching assistant at the CRIT research lab in the Marie & Louis Pasteur University.
You can contact me for any question you have at yagmur.ozturk@edu.univ-fcomte.fr!

Research areas

Morphosemantics, semantics, word-formation, derivational morphology, linguistic modelisation, processing based on linguistic rules, ontologies

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Research Project

Contrastive Analysis of Turkish–French Legal Language and AI Applications

Franco-Turkish collaborative project – currently being established (submission to TÜBİTAK, the Scientific and Technological Research Council of Turkey)

I am involved in a research project focusing on the semantic and translation-oriented analysis of legal terminology in Turkish and French. The project aims to:

• extract and analyse legal terms from specialised corpora;
• study their meanings and their equivalents in the other language;
• model these data within a computer-assisted translation framework;
• develop a dataset for training AI models applied to legal translation.

This project is closely aligned with my work on morphosemantics and linguistic modelling.

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Thesis

Modelling Turkish Nominal Derivation: From Linguistic Formalisation to Morphosemantic Knowledge Representation

Supervisors

Izabella THOMAS, UFC

Snejana GADJEVA, INALCO

Abstract

In terms of morphological resources, Turkish turns out to be an underresourced language in a Natural Language Processing and linguistic perspective. There are not enough exhaustive resources that systematically describe Turkish derivational morphology, especially from a semantic aspect. The research aims to describe Turkish derivational morphology, limited to the scope of noun-to-noun derivation. Based on the hypothesis that word formation rules can be systematically described at both semantic and formal levels, our goal is to:

• create and adapt a semantic ontology for morpheme descriptions,
• build an inventory of morphemes with a formalised description including their semantic aspects.

From an applicative point of view, our goal is to create extendible and interoperable resources for various tasks related to NLP and linguistics, such as:

• machine translation,
• creation and alignment of bilingual corpora,
• computer-assisted language learning.

This approach, based on the establishment of a repertoire of meanings, could be possibly extended to various word-class morphemes and/or other languages that do not have such kinds of tools.