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UppsalaNLP/README
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Computational Linguistics – Uppsala University

The Computational Linguistics Group at Uppsala University (often referred to as Uppsala NLP) is a leading research environment within the Department of Linguistics and Philology.

We combine computer science and linguistics to analyze and process human language, with a strong empirical orientation emphasizing multilingual systems, dependency parsing, and digital humanities.

Research & Subject Areas

Our research is driven by both theoretical goals—understanding human language processing—and practical applications in Natural Language Processing (NLP). Key focus areas include:

  • Multilingual NLP: Cross-lingual transfer learning and typologically diverse language modeling.
  • Syntax & Parsing: Development of algorithms for grammatical analysis, with a special focus on dependency-based parsing.
  • Digital Philology: Computational methods for historical texts, including handwriting recognition and cipher decoding.
  • Machine Translation: Neural machine translation and discourse-oriented translation models.

Key Resources & Projects

We are actively involved in the development of several major community resources and tools:

  • Universal Dependencies (UD): Uppsala is a founding node of this open community effort to create cross-linguistically consistent treebank annotation for over 100 languages.
  • MaltParser: A data-driven parser-generator for dependency parsing.
  • Swe-CLARIN: As a partner in the Common Language Resources and Technology Infrastructure, we develop and maintain tools for digital humanities research.
  • Historical Corpora & Models:
    • UU_SwedishNovels_1800-1940: A corpus of Swedish literary novels.
    • SOU-corpus: Processed versions of Swedish Government Official Reports.
    • DECODE: Automatic decoding of historical manuscripts.

About the Group

The Computational Linguistics group fosters a vibrant international environment with professors, researchers, and doctoral students. We offer a specialized Master’s Programme in Language Technology and participate heavily in the global NLP research community.

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