Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-22677
Publication type: Conference poster
Type of review: Peer review (abstract)
Title: Neural machine translation in academic contexts
Authors: Delorme Benites, Alice
Benites, Fernando
et. al: No
DOI: 10.21256/zhaw-22677
Conference details: Swiss Text Analytics Conference – SwissText 2021, Online, 14-16 June 2021
Issue Date: 15-Jun-2021
Publisher / Ed. Institution: ZHAW Zürcher Hochschule für Angewandte Wissenschaften
Language: English
Subjects: Machine translation; Academic text
Subject (DDC): 410.285: Computational linguistics
418.02: Translating and interpreting
Abstract: English is the main lingua franca for the international scientific dialogue. However, several studies show that a lesser command of English is a factor of exclusion for many non-native researchers. In medicine, English competence robustly predicts chances of publication in leading journals – with a predictive weight that surpasses total financial investment in research. Non-native researchers often turn to free online neural machine translation tools (NMT) to spare the additional temporal and financial costs imposed by journals’ expectation that submissions are “proofread by a native speaker”. However, general NMT cannot account for the specificities of German academic texts: terminology (i.e. German ad hoc compounding, frequent neologisms, popular "German" terms existing parallel to scientific Greco-latin terms), syntax (i.e. presenting constructions, grammatical subjects and rhematized long subjects) and hedging (i.e. German modal verbs) are the three main issues. By fine-tuning a state-of-the-art neural machine translation system on specific academic corpora, we hope to tackle these issues and to compare which errors were corrected and which were not. Such a domain specific approach could be adopted by institutions to train in-house systems and become a standard tool provided by the institution to their researchers like any other intern application.
URI: https://digitalcollection.zhaw.ch/handle/11475/22677
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: Applied Linguistics
Organisational Unit: Institute of Translation and Interpreting (IUED)
Published as part of the ZHAW project: Machine translation for academic texts
Machine translation literacy for academics
Appears in collections:Publikationen Angewandte Linguistik

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Delorme Benites, A., & Benites, F. (2021, June 15). Neural machine translation in academic contexts. Swiss Text Analytics Conference – SwissText 2021, Online, 14-16 June 2021. https://doi.org/10.21256/zhaw-22677
Delorme Benites, A. and Benites, F. (2021) ‘Neural machine translation in academic contexts’, in Swiss Text Analytics Conference – SwissText 2021, Online, 14-16 June 2021. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. Available at: https://doi.org/10.21256/zhaw-22677.
A. Delorme Benites and F. Benites, “Neural machine translation in academic contexts,” in Swiss Text Analytics Conference – SwissText 2021, Online, 14-16 June 2021, Jun. 2021. doi: 10.21256/zhaw-22677.
DELORME BENITES, Alice und Fernando BENITES, 2021. Neural machine translation in academic contexts. In: Swiss Text Analytics Conference – SwissText 2021, Online, 14-16 June 2021. Conference poster. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. 15 Juni 2021
Delorme Benites, Alice, and Fernando Benites. 2021. “Neural Machine Translation in Academic Contexts.” Conference poster. In Swiss Text Analytics Conference – SwissText 2021, Online, 14-16 June 2021. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-22677.
Delorme Benites, Alice, and Fernando Benites. “Neural Machine Translation in Academic Contexts.” Swiss Text Analytics Conference – SwissText 2021, Online, 14-16 June 2021, ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 2021, https://doi.org/10.21256/zhaw-22677.


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