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Lars Ahrenberg is a Professor Emeritus at Linköping University, specializing in Computational Linguistics. His current research focuses on the applications of language technology within the humanities and social sciences, particularly concerning human-machine translation. Ahrenberg is involved in the development of language technology tools and methods aimed at enhancing research infrastructures, notably participating in the national consortium Swe-Clarin. His work emphasizes the creation and utilization of tools and resources for text analysis, contributing to the development of new Swedish resources for named entity recognition and the evaluation of machine translation systems. A significant aspect of his project work involves collaboration with researchers from various disciplines, helping them to uncover potential limitations in tools and offering new perspectives on data research. He employs automatic methods on large datasets, aiming to reveal structures and relations in texts that would otherwise remain hidden. Additionally, he is a contributor to the international initiative Universal Dependencies, which focuses on enriching treebank datasets with syntactic annotations for comparative studies across languages. Among his key resources is the parallel treebank LinES, which consists of original English sentences and their Swedish translations, beneficial for translation studies. In terms of teaching, Ahrenberg supervises students at both Bachelor's and Master's levels for their thesis work.
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