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            A dictionary and grammatical sketch of Ruruuli-Lunyala (Volume 5)

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            Author(s)
            Namyalo, Saudah
            Witzlack-Makarevich, Alena
            Kiriggwajjo, Anatole
            Atuhairwe, Amos
            Molochieva, Zarina
            Mukama, Ruth Gimbo
            Zellers, Margaret
            Collection
            Knowledge Unlatched (KU)
            Language
            English
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            Abstract
            This book is a dictionary and grammar sketch of Ruruuli-Lunyala, a Great Lakes Bantu language spoken by over 200,000 people in central Uganda. The dictionary part includes about 10,000 entries. Each lexical entry provides translations into English, example sentences, and basic grammatical information. The dictionary part is supplemented with an outline of the Ruruuli-Lunyala grammar, which treats most of the phonological and morpho-syntactic topics. This book is a result of a joined effort of a large team of linguists and many speakers of Ruruuli-Lunyala and is intended as a resource for linguists and Ruruuli-Lunyala speakers, learners, and educators.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/177918
            Keywords
            Language Arts & Disciplines; Linguistics; thema EDItEUR::C Language and Linguistics::CF Linguistics
            DOI
            https://doi.org/10.5281/zenodo.5548947
            ISBN
            9783961103294
            Publisher
            Language Science Press
            Publisher website
            http://langsci-press.org/
            Publication date and place
            2021
            Grantor
            • Knowledge Unlatched
            Imprint
            Language Science Press
            • OAPEN harvesting collection

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

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            Credits


            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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