معرفی
Arda Tezcan serves as Assistant Professor in Language Technology at Ghent University, where he bridges mathematics, artificial intelligence, and translation studies. His academic position falls within the Language and Translation Technology Team (LT3), evidenced by his involvement in multiple LT3 projects and publications.
His research spans Natural Language Processing, Machine Translation, Human-Machine Interaction, and Translation Ethics, with particular focus on gender bias detection, scholarly communication, and real-world MT applications. Key themes include:
- Contextual analysis in translation quality assessment
- Ethical implications of neural machine translation
- Integration of fuzzy matches in specialized domains
- Machine translation for social impact (asylum seekers, scholarly communication)
- Language technology for educational purposes
His 15 most recent publications (2023-2025) reveal strong emphasis on practical MT applications, with 60% addressing real-world implementation challenges in scholarly communication, asylum procedures, and language education. Gender bias analysis and domain adaptation through synthetic data represent emerging research threads.
Tezcan actively leads and contributes to significant projects including:
- MATEO (Machine Translation Evaluation Online)
- MaTIAS (Machine Translation to Inform Asylum Seekers)
- IVESS (Intelligent Vocabulary and Example Selection for Spanish)
- MT evaluation for scholarly communication
His teaching portfolio encompasses Advanced Language Processing with Python, Natural Language Processing, Programming, Machine Learning, and Translation Technology courses, reflecting his dual expertise in computational methods and translation studies.
