Wikimedia CEE Meeting 2024/Submissions/Bridging the Gap Between Wikipedians and Scientists with Terminology-Aware Translation: A Case Study in Turkish

ID : 45
Author(s): Ali Gebeşçe, Gözde Gül Şahin, Gürkan Soykan	Username(s): AliGebesce	Type of submission: Lecture
Author(s): Ali Gebeşçe, Gözde Gül Şahin, Gürkan Soykan	Affiliation: Turkish Wikipedia, Wikimedia Research Fund 2024, Koç University	Theme(s): Community Engagement, Technology
Abstract: This project addresses the gap between the escalating volume of English-to-Turkish Wikipedia translations and the insufficient number of contributors, particularly in technical domains. Leveraging domain expertise from collaborative terminology dictionary effort, we plan to implement a pipeline system to enhance translation quality. Our focus is on bridging academic and Wikipedia communities, creating datasets, and developing NLP models for terminology identification and linking, and terminology-aware translation. The aim is to foster sustained contributions from both communities and improve the overall quality of Turkish Wikipedia articles.		Slides: t.ly/NMJHl
		Level of advancement: Medium
		Special requirements:

How will this session be beneficial for the communities in the region of CEE? This initiative will significantly benefit the CEE community by enhancing the quality and accuracy of Turkish Wikipedia articles, particularly in technical fields. By bridging the gap between academic experts and Wikipedia contributors, we aim to create a sustainable model for continuous improvement and contribution. The development of NLP models and datasets specific to Turkish will also serve as valuable resources for future projects, fostering a collaborative environment and setting a precedent for other language pairs in the CEE region. Ultimately, this project aims to promote knowledge sharing and accessibility across the community.

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