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  • 1.
    Axelsson, Karin
    Högskolan i Skövde, Institutionen för kommunikation och information.
    A cross-linguistic study of grammatically-dependent question tags Data and theoretical implications2011Ingår i: Studies in Language, ISSN 0378-4177, E-ISSN 1569-9978, Vol. 35, nr 4, s. 793-851Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This article proposes a new categorization of confirmation-seeking question tags, based on how the use of such tags is restricted in relation to the preceding clause, the anchor. The focus is on a category labelled grammatically-dependent question tags (GDQTs). Earlier research has claimed that almost only English has such question tags, but this article presents and compares data on GDQTs from more than ten languages, and suggests a hierarchy for features of grammatical dependence in question tags: polarity < tense < number/person < (semantic) gender (possibly also < verb substitution). The GDQT structures vary in different ways: all GDQT languages have negative GDQTs, but not all have positive GDQTs; verb substitution is not always applied and constant polarity instead of reversed polarity is also found.

  • 2.
    Brusk, Jenny
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Steps Towards Creating Socially Competent Game Characters2014Doktorsavhandling, monografi (Övrigt vetenskapligt)
    Abstract [en]

    This thesis investigates and presents approaches towards creating more socially competent NPCs by means of natural language dialogues. The aim is to provide hands-on solutions for game developers who want to offer interactions with the NPCs in the game that are socially driven rather than functionally motivated and that encourage the player to build and maintain relationships between the character they control and the other game characters. By means of gameplay design patterns (GDPs), i.e. a semi-formal means of describing, sharing and expanding knowledge about game design, a selection of games have been analysed in order to identify existing and hypothetical GDPs for game dialogues. The analysis resulted in a number of GDPs that support, or could support, social interaction among game characters. A selection of the identified patterns has then been modelled using Harel statecharts and implemented in State Chart XML, a candidate to become a W3C standard.

  • 3.
    Virk, Shafqat Mumtaz
    et al.
    Språkbanken, University of Gothenburg, Sweden.
    Muhammad, Azam Sheikh
    Department of CS & Eng., Chalmers University of Technology, Sweden.
    Borin, Lars
    Språkbanken, University of Gothenburg, Sweden.
    Aslam, Muhammad Irfan
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Iqbal, Saania
    GIFT University, Pakistan.
    Khurram, Nazia
    GIFT University, Pakistan.
    Exploiting frame semantics and frame-semantic parsing for automatic extraction of typological information from descriptive grammars of natural languages: Natural Language Processingin a Deep LearningWorld, Proceedings2019Ingår i: International Conference Recent Advances in Natural Language Processing, RANLP / [ed] Galia Angelova, Ruslan Mitkov, Ivelina Nikolova, Irina Temnikova, Shoumen: Incoma Ltd , 2019, s. 1247-1256Konferensbidrag (Refereegranskat)
    Abstract [en]

    We describe a novel system for automatic extraction of typological linguistic information from descriptive grammars of natural languages, applying the theory of frame semantics in the form of frame-semantic parsing. The current proof-of-concept system covers a few selected linguistic features, but the methodology is general and can be extended not only to other typological features but also to descriptive grammars written in languages other than English. Such a system is expected to be a useful assistance for automatic curation of typological databases which otherwise are built manually, a very labor and time consuming as well as cognitively taxing enterprise.

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