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        A grammar of Komnzo

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        Author(s)
        Döhler, Christian
        Collection
        Knowledge Unlatched (KU); Language Science Press 2018-2020
        Language
        English
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        Abstract
        Komnzo is a Papuan language of Southern New Guinea spoken by around 250 people in the village of Rouku. Komnzo belongs to the Tonda subgroup of the Yam language family, which is also known as the Morehead Upper-Maro group. This grammar provides the first comprehensive description of a Yam language. It is based on 16 months of fieldwork. The primary source of data is a text corpus of around 12 hours recorded and transcribed between 2010 and 2015. Komnzo provides many fields of future research, but the most interesting aspect of its structure lies in the verb morphology, to which the two largest chapters of the grammar are dedicated. Komnzo verbs may index up to two arguments showing agreement in person, number and gender. Verbs encode 18 TAM categories, valency, directionality and deictic status. Morphological complexity lies not only in the amount of categories that verbs may express, but also in the way these are encoded.
        URI
        https://library.oapen.org/handle/20.500.12657/45646
        Keywords
        Linguistics
        DOI
        10.5281/zenodo.1477799
        ISBN
        9783961101252
        OCN
        1081335651
        Publisher
        Language Science Press
        Publisher website
        https://langsci-press.org/
        Publication date and place
        Berlin, 2019-01-04
        Grantor
        • Knowledge Unlatched
        Imprint
        Language Science Press
        Series
        Studies in Diversity Linguistics,
        Classification
        Writing systems, alphabets
        Rights
        https://creativecommons.org/licenses/by/4.0/legalcode
        • Harvested from KU

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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