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A corpus study comparing the discourse of human and machine translation

Frankenberg-Garcia, Ana (2018) A corpus study comparing the discourse of human and machine translation In: ITI Research Network e-book 2018: The Human and the Machine. Institute of Translation and Interpreting.

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Despite the dramatic advances that have taken place over the past years with regard to perfecting machine translation, a known limitation is that it operates predominantly at the level of phrases and sentences. While there have been efforts to develop machine translation beyond the level of the sentence, the focus of this research has been on highly-specific algorithms to perfect machine-translation output. In this discussion paper, I report on a corpus-driven comparison of the discourse of human and machine translation from the perspective of Translation Studies.

Item Type: Book Section
Divisions : Faculty of Arts and Social Sciences > School of Literature and Languages
Authors :
Date : 2018
Copyright Disclaimer : © Institute of Translation and Interpreting 2018. All or part of this text may not be reproduced without prior permission from ITI. Please credit ITI and where appropriate the contributor when quoting from this work.
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Depositing User : Clive Harris
Date Deposited : 28 Aug 2019 09:31
Last Modified : 28 Aug 2019 09:31

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