SciBabel: a system for crowd-sourced validation of automatic translations of scientific texts

Scientific research is mostly published in English, regardless of the researcher's nationality. However, this growing practice impairs or hinders the comprehension of professionals who depend on the results of these studies to provide adequate care for their patients. We suggest that machine tr...

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Main Authors: Felipe Soares, Rozane Rebechi, Mark Stevenson
Format: Article
Language:English
Published: BioMed Central 2020-06-01
Series:Genomics & Informatics
Subjects:
Online Access:http://genominfo.org/upload/pdf/gi-2020-18-2-e21.pdf
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author Felipe Soares
Rozane Rebechi
Mark Stevenson
author_facet Felipe Soares
Rozane Rebechi
Mark Stevenson
author_sort Felipe Soares
collection DOAJ
description Scientific research is mostly published in English, regardless of the researcher's nationality. However, this growing practice impairs or hinders the comprehension of professionals who depend on the results of these studies to provide adequate care for their patients. We suggest that machine translation (MT) can be used as a way of providing useful translation for biomedical articles, even though the translation itself may not be fluent. To tackle possible mistranslation that can harm a patient, we resort to crowd-sourced validation of translations. We developed a prototype of MT validation and edition, where users can vote for that translation as valid, or suggest modifications (i.e., post-editing the MT). A glossary match system is also included, aiming at terminology consistency.
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publishDate 2020-06-01
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spelling doaj-art-e5fb0c98939b4cc59df8321db8b92a5b2025-02-02T15:01:19ZengBioMed CentralGenomics & Informatics2234-07422020-06-01182e2110.5808/GI.2020.18.2.e21608SciBabel: a system for crowd-sourced validation of automatic translations of scientific textsFelipe Soares0Rozane Rebechi1Mark Stevenson2 Computer Science Department, University of Sheffield, Sheffield S38RA, UK Instituto de Letras, Universidade Federal do Rio Grande do Sul, Porto Alegre 91540-000, Brazil Computer Science Department, University of Sheffield, Sheffield S38RA, UKScientific research is mostly published in English, regardless of the researcher's nationality. However, this growing practice impairs or hinders the comprehension of professionals who depend on the results of these studies to provide adequate care for their patients. We suggest that machine translation (MT) can be used as a way of providing useful translation for biomedical articles, even though the translation itself may not be fluent. To tackle possible mistranslation that can harm a patient, we resort to crowd-sourced validation of translations. We developed a prototype of MT validation and edition, where users can vote for that translation as valid, or suggest modifications (i.e., post-editing the MT). A glossary match system is also included, aiming at terminology consistency.http://genominfo.org/upload/pdf/gi-2020-18-2-e21.pdfcrowdsourcinglinguisticsmachine translationmedical informatics applicationspubmed
spellingShingle Felipe Soares
Rozane Rebechi
Mark Stevenson
SciBabel: a system for crowd-sourced validation of automatic translations of scientific texts
Genomics & Informatics
crowdsourcing
linguistics
machine translation
medical informatics applications
pubmed
title SciBabel: a system for crowd-sourced validation of automatic translations of scientific texts
title_full SciBabel: a system for crowd-sourced validation of automatic translations of scientific texts
title_fullStr SciBabel: a system for crowd-sourced validation of automatic translations of scientific texts
title_full_unstemmed SciBabel: a system for crowd-sourced validation of automatic translations of scientific texts
title_short SciBabel: a system for crowd-sourced validation of automatic translations of scientific texts
title_sort scibabel a system for crowd sourced validation of automatic translations of scientific texts
topic crowdsourcing
linguistics
machine translation
medical informatics applications
pubmed
url http://genominfo.org/upload/pdf/gi-2020-18-2-e21.pdf
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AT rozanerebechi scibabelasystemforcrowdsourcedvalidationofautomatictranslationsofscientifictexts
AT markstevenson scibabelasystemforcrowdsourcedvalidationofautomatictranslationsofscientifictexts