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PI at ELLIS Institute Finland. His research directions include multilingual natural language processing and AI for health.
Li-Hsin does research in educational NLP, specializing in computer-assisted grading of student responses.
Hanna-Mari's research combines medieval Latin textual data with latest machine learning methods. She holds a Master’s degree in Classical Philology with a specialization in medieval Latin. In her PhD she is focusing on grammar, improvement of parsing tools, structuring data and local history. Her work is funded by the Emil Aaltonen Foundation.
Saara is interested in register variation in online context. She focuses on web language use from a multilingual, cross-linguistic perspective using various machine learning and statistical methods. Currently, her main research focus is on French and Swedish web registers and hybrids.
Selcen conducts research in corpus linguistics with a focus on text varieties (registers) and media discourse analysis on the Turkish web.
Frederike's research interests include regional or minority languages, digital discourse, commodification of language, and language and identity, focusing on the use of Low German in digital spaces.
Jenna's research focuses on evaluative language in digital media during the Covid-19 pandemic.
Otto's research focuses on analysing and improving text corpora with machine learning and LLMs.
Tapio's research is on using modern NLP methods to create and detect suitable Finnish reading comprehension material for students in primary and lower secondary education.
Anna's dissertation explores the topic landscape of Finnish parliamentary speeches.
My research combines dialectology and language variation with NLP, and I build tools to make sense of dialectal corpora.
I am doing research on Persian registers in web corpora. I am interested in automatic text analysis and applying AI-based systems to linguistic corpora.
