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Volume 21, Issue 1
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Abstract

Abstract

Because of the visual nature of signed language, the compilation of a signed language interpreting corpus along the lines of spoken-language interpreting corpora has been viewed as extremely challenging, if not impossible. This study offers a unique contribution in the construction of a lemmatized, annotated text-based corpus of signed language media interpretations, which allows analysis of interesting features using readily-available concordance software. In this article, characteristics of original (not interpreted) signed language corpora are explored in terms of metadata conventions, transcription and annotation, in order to provide a framework for an interpreting corpus. Within this framework, the decisions and steps taken in the construction of the interpreting corpus are discussed and explained.

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2019-03-13
2025-04-25

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A corpus for signed language interpreting research
Interpreting 21, 62 (2019); https://doi.org/10.1075/intp.00020.weh
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  • Article Type: Research Article
Keyword(s): annotation; corpus-driven interpreting studies; sign language corpora; signed language interpreting; transcription

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