Elena Volodina is Professor of Language Technology at the University of Gothenburg, Sweden, carrying a full-time position at Språkbanken Text at the department of Swedish, Multilingualism, Language Technology.
Prof. Volodina research focuses primarily on the intersection between Natural Language Processing (NLP) and second language learning. This includes development of resources and applications for Intelligent Computer-Assisted Language Learning (ICALL) in combination with Corpus Linguistics, both for research and research infrastructure, as well as computational linguistic methods for text analysis. She coordinates an international group Computational SLA which promotes research on underrepresented languages in the field of Second Language Acquisition (SLA) through building a community, release of datasets and organization of shared tasks. The recent shared task on Grammatical Error Correction, MultiGEC-2025, involved twelve languages.
Currently, she is leading a large externally funded project on pseudonymization of research data; and supervises four doctoral projects within NLP and language learning.
Elena Volodina is Professor of Language Technology at the University of Gothenburg, Sweden, carrying a full-time position at Språkbanken Text at the department of Swedish, Multilingualism, Language Technology.
Prof. Volodina research focuses primarily on the intersection between Natural Language Processing (NLP) and second language learning. This includes development of resources and applications for Intelligent Computer-Assisted Language Learning (ICALL) in combination with Corpus Linguistics, both for research and research infrastructure, as well as computational linguistic methods for text analysis. She coordinates an international group Computational SLA which promotes research on underrepresented languages in the field of Second Language Acquisition (SLA) through building a community, release of datasets and organization of shared tasks. The recent shared task on Grammatical Error Correction, MultiGEC-2025, involved twelve languages.
Currently, she is leading a large externally funded project on pseudonymization of research data; and supervises four doctoral projects within NLP and language learning.