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Extracción de fraseología para intérpretes a partir de corpus comparables compilados mediante reconocimiento automático del habla

Corpas Pastor, Gloria
Gaber, Mahmoud
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Abstract
Today, automatic speech recognition is beginning to emerge strongly in the field of interpreting. Recent studies point to this technology as one of the main documentation resources for interpreters, among other possible uses. In this paper we present a novel documentation methodology that involves semi-automatic compilation of comparable corpora (transcriptions of oral speeches) and automatic corpus compilation of written documents on the same topic with a view to preparing an interpreting assignment. As a convenient background, we provide a brief overview of the use of automatic speech recognition in the context of interpreting technologies. Next, we will detail the protocol for designing and compiling our comparable corpora that we will exploit for analysis. In the last part of the paper, we will cover phraseology extraction and study some collocational patterns in both corpora. Mastering the specific phraseology of the specific subject matter of the assignment is one of the main stumbling blocks that interpreters face in their daily work. Our ultimate aim is to establish whether oral corpora could be of further benefit to the interpreter in the preliminary preparation phase.
Citation
Corpas Pastor, G. and Gaber, M. (2021) Extracción de fraseología para intérpretes a partir de corpus comparables compilados mediante reconocimiento automático del habla, in Corpas Pastor, G., Zambrana, M.R.B., Hidalgo-Ternero, C.M. (eds.) Sistemas fraseológicos en contraste: Enfoques computacionales y de corpus.
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es
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This is an accepted manuscript of a chapter published by Editorial Comares in Sistemas fraseológicos en contraste: Enfoques computacionales y de corpus, available online: https://www.comares.com/libro/sistemas-fraseologicos-en-contraste_130637/ The accepted version of the publication may differ from the final published version. For re-use please see publisher's terms and conditions.
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9788413690254
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