Language technology

Language technology, earlier known as computational linguistics, is a multidisciplinary field studying the technical tools and methods through which human language – spoken and written – can be structured into a form processed by computers. Known application areas of language technology are automatic spelling and grammar checks, as well as automatic speech recognition.

At the University of Helsinki, the focus areas in research related to language technology are

  • Language technology in morphologically rich languages
  • Cross-lingual and multilingual natural language processing
  • Language technology in the humanities
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MA
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Senior University Lecturer in Language Technology
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About
Tommi Jauhiainen has a PhD in Language Technology and works in the Department of Digital Humanities at the University of Helsinki as an Academy Research Fellow in his Unseen Languages in Language Identification project, funded by the Research Council of Finland (2025–2029). Additionally, he leads the Automatic Classification and Analysis of Texts from Egyptian Antiquity project, funded by the Kone Foundation (2024–2029), and coordinates the Computational Ancient Languages Laboratory research group. His research applies natural language processing to ancient and low-resource languages and writing systems, including Sumero-Akkadian cuneiform, Egyptian hieroglyphs, and Coptic. He has particularly focused on developing methods for automatic language identification — determining the language in which a text is written — and his comprehensive survey of the field was published in the Journal of Artificial Intelligence Research. He is especially interested in computational methods that bring poorly resourced languages within reach of large-scale, corpus-based text analysis.
About
Egyptologist with a bachelor of science degree in Computer Science. Working to produce machine-readable hieroglyphic texts and to Automatical Classification and Analysis of Texts from Egyptian Antiquity (Kone Foundation). Member of the Computational Ancient Languages Laboratory and of ANEE+ Interdiciplinary Research Network. Chair of the board of the Finnish Egyptological Society.
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Vice Dean / Research, Doctoral Education, Innovations, Business Cooperation, Bilingual Affairs / Faculty of Humanities Research Director / Digital Humanities / University of Helsinki National Coordinator / FIN-CLARIN
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Discipline coordinator of language technology, research, teaching and supervision
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Postdoctoral researcher -- Language Technology. REASEARCH & TEACHING Areas of interest: generative language models, neural machine translation, transfer learning, optimization and modelling. Teaching experience: intro to NMT (2022, 2023), building NLP applications (2021,2022,2023), mathematics for linguists (2019,2020,2021) Supervision: Zhixu Gu (MA thesis 2023), Helminna Hotti (BA thesis 2021), Elina Melasuo (MA thesis, 2021 - grading only)
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