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    The SAWA corpus: a parallel corpus English - Swahili

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    Date
    2009
    Author
    Pauw, Guy De
    Wagacha, Peter Waiganjo
    de Schryver, Gilles-Maurice
    Type
    Presentation
    Language
    en
    Metadata
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    Abstract
    Research in data-driven methods for Machine Translation has greatly benefited from the increasing availability of parallel corpora. Processing the same text in two different languages yields useful information on how words and phrases are translated from a source language into a target language. To investigate this, a parallel corpus is typically aligned by linking linguistic tokens in the source language to the corresponding units in the target language. An aligned parallel corpus therefore facilitates the automatic development of a machine translation system and can also bootstrap annotation through projection. In this paper, we describe data collection and annotation efforts and preliminary experimental results with a parallel corpus English - Swahili.
    URI
    http://dl.acm.org/citation.cfm?id=1564511
    http://hdl.handle.net/11295/37612
    Citation
    Proceedings of the EACL 2009 Workshop on Language Technologies for African Languages – AfLaT 2009, pages 9–16, Athens, Greece, 31 March 2009
    Publisher
    Association for Computational Linguistics
     
    School of Computing and Informatics, University of Nairobi, Kenya
     
    African Languages and Cultures, Ghent University, Belgium Xhosa Department, University of the Western Cape, South Africa
     
    CNTS - Language Technology Group, University of Antwerp, Belgium
     
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    • Faculty of Science & Technology (FST) [853]

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