Filtering and routing multilingual documents for translation

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DOIResolve DOI: http://doi.org/10.1109/CISDA.2012.6291536
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TypeArticle
Proceedings title2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications (CISDA 2012)
Conference2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications (CISDA), July 11-13, 2012, Ottawa, Ontario, Canada
ISBN978-1-4673-1416-9
Pages17; # of pages: 7
AbstractTranslation is a key capability to access relevant information expressed in various languages on social media. Unfortunately, systematically translating all content far exceeds the capacity of most organizations. Computer-aided translation (CAT) tools can significantly increase the productivity of translators, but can not ultimately cope with the overwhelming amount of content to translate. In this contribution, we describe and experiment with an approach where we use the structure in a corpus to adequately route the content to the proper workflow, including translators, CAT tools or purely automatic approaches. We show that linguistically motivated structure such as document genre can help decide on the proper translation workflow. However, automatically discovered structure has an effect that is at least as important and allows us to define groups of documents that may be translated automatically with reasonable output quality. This suggests that computational intelligence models that can efficiently organize document collection will provide increased capability to access textual content from various target languages.
Publication date
PublisherIEEE
LanguageEnglish
AffiliationInformation and Communication Technologies; National Research Council Canada
Peer reviewedYes
NPARC number20794315
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Record identifier12610fd4-0110-475e-bc5c-0dfc0481f7de
Record created2012-10-12
Record modified2016-05-09
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