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  • 1. Castermans, Thom
    et al.
    Hammarström, Harald
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
    Speckmann, Bettina
    Verbeek, Kevin
    Westenberg, Michel
    GlottoVis: Visualizing Language Endangerment and Documentation2017In: VIS4DH’17: 2nd Workshop on Visualization for the Digital Humanities / [ed] Collins, Christopher; Correll, Michael; El-Assady, Mennatallah; Jänicke, Stefan; Keim, Daniel; Wrisley, David, Phoenix, Arizona: IEEE , 2017, p. 1-5Chapter in book (Other academic)
  • 2. Gijn, Rik van
    et al.
    Hammarström, Harald
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
    Kerke, Simon van de
    Krasnoukhova, Olga
    Muysken, Pieter
    Linguistic Areas, Linguistic Convergence and River Systems in South America2017In: Handbook of Areal Linguistics / [ed] Hickey, Raymond, Cambridge: Cambridge University Press , 2017, p. 964-996Chapter in book (Other academic)
  • 3.
    Hammarström, Harald
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
    Language Isolates in the New Guinea region2017In: Language Isolates / [ed] Campbell, Lyle; Smith, Alex; Dougherty, Thomas, London: Routledge , 2017, p. 287-321Chapter in book (Other academic)
  • 4.
    Hammarström, Harald
    et al.
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
    Virk, Shafqat Mumtaz
    Forsberg, Markus
    Poor Man’s OCR Post-Correction: Unsupervised Recognition of Variant Spelling Applied to a Multilingual Document Collection2017In: Proceedings of the Digital Access to Textual Cultural Heritage (DATeCH) conference, Göttingen: ACM , 2017, p. 71-75Chapter in book (Other academic)
  • 5. Pawley, Andrew
    et al.
    Hammarström, Harald
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
    The Trans New Guinea family2017In: Papuan Languages and Linguistics / [ed] Palmer, Bill, Berlin: DeGruyter Mouton , 2017, p. 21-195Chapter in book (Other academic)
  • 6. Seifart, Frank
    et al.
    Hammarström, Harald
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
    Language Isolates in South America2017In: Language Isolates / [ed] Campbell, Lyle; Smith, Alex; Dougherty, Thomas, London: Routledge , 2017, p. 260-286Chapter in book (Other academic)
  • 7. Virk, Shafqat Mumtaz
    et al.
    Borin, Lars
    Saxena, Anju
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
    Hammarström, Harald
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
    Automatic extraction of typological linguistic features from descriptive grammars2017In: Text, Speech, and Dialogue: 20th International Conference, TSD 2017, Prague, Czech Republic, August 27-31, 2017, Proceedings / [ed] Ekštein, Kamil; Matoušek, Václav, Springer, 2017, Vol. 10415, p. 111-119Chapter in book (Refereed)
    Abstract [en]

    The present paper describes experiments on automatically extracting typological linguistic features of natural languages from traditional written descriptive grammars. The feature-extraction task has high potential value in typological, genealogical, historical, and other related areas of linguistics that make use of databases of structural features of languages. Until now, extraction of such features from grammars has been done manually, which is highly time and labor consuming and becomes prohibitive when extended to the thousands of languages for which linguistic descriptions are available. The system we describe here starts from semantically parsed text over which a set of rules are applied in order to extract feature values. We evaluate the system’s performance on the manually curated Grambank database as the gold standard and report the first measures of precision and recall for this problem

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