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  • 1.
    Dahl, Östen
    Stockholm University, Faculty of Humanities, Centre for the Study of Cultural Evolution. Stockholm University, Faculty of Humanities, Department of Linguistics, General Linguistics.
    From questionnaires to parallel corpora in typology2007In: Sprachtypologie und Universalienforschung, ISSN 0942-2919, Vol. 60, no 2, p. 172-181Article in journal (Refereed)
    Abstract [en]

    This rather programmatic paper discusses the use of parallel corpora in the typological study of grammatical categories. In the author’s earlier work, tense-aspect categories were studied by means of a translational questionnaire, and “cross-linguistic gram-types” were identified through their distribution in the questionnaire. It is proposed that a similar methodology could be applied to multilingual parallel corpora. The possibility of identifying grammatical markers by word-alignment methods is demonstrated with examples from Bible texts.

  • 2.
    Jansson, Fredrik
    et al.
    Stockholm University, Faculty of Humanities, Centre for the Study of Cultural Evolution. Linköping University, Sweden.
    Parkvall, Mikael
    Stockholm University, Faculty of Humanities, Department of Linguistics, General Linguistics.
    Strimling, Pontus
    Stockholm University, Faculty of Humanities, Centre for the Study of Cultural Evolution. Linköping University, Sweden.
    Modeling the Evolution of Creoles2015In: Language Dynamics and Change, ISSN 2210-5824, E-ISSN 2210-5832, Vol. 5, no 1, p. 1-51Article in journal (Refereed)
    Abstract [en]

    Various theories have been proposed regarding the origin of creole languages. Describing a process where only the end result is documented involves several methodological difficulties. In this paper we try to address some of the issues by using a novel mathematical model together with detailed empirical data on the origin and structure of Mauritian Creole. Our main focus is on whether Mauritian Creole may have originated only from a mutual desire to communicate, without a target language or prestige bias. Our conclusions are affirmative. With a confirmation bias towards learning from successful communication, the model predicts Mauritian Creole better than any of the input languages, including the lexifier French, thus providing a compelling and specific hypothetical model of how creoles emerge. The results also show that it may be possible for a creole to develop quickly after first contact, and that it was created mostly from material found in the input languages, but without inheriting their morphology.

  • 3. Jansson, Fredrik
    et al.
    Strimling, Pontus
    Stockholm University, Faculty of Humanities, Centre for the Study of Cultural Evolution.
    Parkvall, Mikael
    Stockholm University, Faculty of Humanities, Department of Linguistics, General Linguistics.
    Modelling the evolution of creoles2012In: The Evolution of Language: Proceedings of the 9th International Conference (EVOLANG9) / [ed] Thomas C. Scott-Phillips et al., Singapore: World Scientific Publishing Company , 2012, p. 464-465Conference paper (Refereed)
  • 4.
    Parkvall, Mikael
    et al.
    Stockholm University, Faculty of Humanities, Department of Linguistics, General Linguistics.
    Jansson, Fredrik
    Stockholm University, Faculty of Humanities, Centre for the Study of Cultural Evolution.
    Strimling, Pontus
    Stockholm University, Faculty of Humanities, Centre for the Study of Cultural Evolution.
    Simulating the genesis of Mauritian2013In: Acta Linguistica Hafniensia. International Journal of Structural Linguistics, ISSN 0374-0364, E-ISSN 1949-0763, Vol. 45, no 2, p. 265-273Article in journal (Refereed)
    Abstract [en]

    This paper presents a computer simulation of the genesis of Mauritian Creole. The input consists of detailed demographic data and typological information on Mauritian as well as the languages which contributed to its birth. The simulation is deliberately a simplistic one – the idea is to have as few potentially controversial assumptions as possible built into the model, and add additional parameters only to the extent that its output differs from the real-world result. As it turns out, the model generates a language which is highly similar to Mauritian as it is spoken today, and thus, very little “tweaking” seems necessary. Most notably, the model produces the desired result without the postulation of targeted language acquisition, and while one cannot conclude that this was not a part of the creolisation process, our simulation suggests that it is not a necessary assumption.

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