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  • 1.
    Forsbom, Eva
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
    A Swedish Base Vocabulary Pool2006Conference paper (Refereed)
  • 2.
    Liberg, Caroline
    et al.
    Uppsala University, Faculty of Educational Sciences, Department of Curriculum Studies.
    Forsbom, Eva
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
    Text and language in assessment of mathematics and science2009In: Multilingualism: Proceedings of the 23rd Scandinavian Conference of Linguistics / [ed] Anju Saxena, Åke Viberg, Uppsala: Uppsala universitet , 2009, p. 328-332Conference paper (Refereed)
  • 3.
    Weijnitz, Per
    et al.
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics.
    Sågvall Hein, Anna
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics.
    Forsbom, Eva
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics.
    Gustavii, Ebba
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics.
    Pettersson, Eva
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics.
    Tiedemann, Jörg
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics.
    The machine translation system MATS: past, present & future2004Conference paper (Refereed)
    Abstract [en]

    This is a status report of the rule-based machine translation system MATS (Sågvall Hein et al., 2002). It describes the development into its current state, which has recently been focused on extending the linguistic resources to new domains and improving robustness. Incases where an input sentence is not fully processable by the system, partial results are taken care of and used in producing a translationby complementary methods. A road-map for future development is also sketched.

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