About
Dr. Serge Sharoff is a Professor of Language Technology at the University of Leeds' School of Languages, Cultures and Societies. His research focuses on natural language processing (NLP), machine translation, corpus linguistics, and digital humanities, with emphasis on web corpus curation and cross-lingual language adaptation. He leads projects like the Leeds Russian Centre and the PALODIEM initiative, exploring translation quality, multilingual NLP, and comparable corpora. Sharoff has supervised PhD students in language technology and teaches courses on computational linguistics, machine translation, and corpus methods for translators.
- Education: PhD in Computational Linguistics from Moscow Lomonosov State University (1997)
- Postdoctoral Work: Russian Research Institute for Artificial Intelligence (1997–2000); Humboldt Fellowship at University of Bielefeld (2001–2002)
Research interests include genre classification, multilingual models for lesser-resourced languages, and leveraging non-parallel texts for translation. His work has produced large-scale corpora for Arabic, Chinese, Russian, and other languages, with applications in healthcare and social discourse analysis. Sharoff co-founded the BUCC workshop series on comparable corpora and collaborates internationally on projects like the iDEM initiative.
Recent articles highlight contributions to syntax-aware machine translation, adversarial text classification, and computational analysis of fiction genres. He actively seeks PhD candidates in language technology, emphasizing practical applications in translation and computational linguistics.
