2.50
Hdl Handle:
http://hdl.handle.net/2436/620521
Title:
Questing for Quality Estimation A User Study
Authors:
Escartin, Carla Parra; Béchara, Hanna; Orăsan, Constantin ( 0000-0003-2067-8890 )
Abstract:
Post-Editing of Machine Translation (MT) has become a reality in professional translation workflows. In order to optimize the management of projects that use post-editing and avoid underpayments and mistrust from professional translators, effective tools to assess the quality of Machine Translation (MT) systems need to be put in place. One field of study that could address this problem is Machine Translation Quality Estimation (MTQE), which aims to determine the quality of MT without an existing reference. Accurate and reliable MTQE can help project managers and translators alike, as it would allow estimating more precisely the cost of post-editing projects in terms of time and adequate fares by discarding those segments that are not worth post-editing (PE) and have to be translated from scratch. In this paper, we report on the results of an impact study which engages professional translators in PE tasks using MTQE. We measured translators? productivity in different scenarios: translating from scratch, post-editing without using MTQE, and post-editing using MTQE. Our results show that QE information, when accurate, improves post-editing efficiency.
Citation:
Questing for Quality Estimation A User Study 2017, 108 (1) The Prague Bulletin of Mathematical Linguistics
Publisher:
de Gruyter
Journal:
The Prague Bulletin of Mathematical Linguistics
Issue Date:
1-Jan-2017
URI:
http://hdl.handle.net/2436/620521
DOI:
10.1515/pralin-2017-0032
Additional Links:
http://www.degruyter.com/view/j/pralin.2017.108.issue-1/pralin-2017-0032/pralin-2017-0032.xml
Type:
Article
Language:
en
ISSN:
1804-0462
Sponsors:
EC
Appears in Collections:
Computational Linguistics Group

Full metadata record

DC FieldValue Language
dc.contributor.authorEscartin, Carla Parraen
dc.contributor.authorBéchara, Hannaen
dc.contributor.authorOrăsan, Constantinen
dc.date.accessioned2017-06-22T10:42:18Z-
dc.date.available2017-06-22T10:42:18Z-
dc.date.issued2017-01-01-
dc.identifier.citationQuesting for Quality Estimation A User Study 2017, 108 (1) The Prague Bulletin of Mathematical Linguisticsen
dc.identifier.issn1804-0462en
dc.identifier.doi10.1515/pralin-2017-0032-
dc.identifier.urihttp://hdl.handle.net/2436/620521-
dc.description.abstractPost-Editing of Machine Translation (MT) has become a reality in professional translation workflows. In order to optimize the management of projects that use post-editing and avoid underpayments and mistrust from professional translators, effective tools to assess the quality of Machine Translation (MT) systems need to be put in place. One field of study that could address this problem is Machine Translation Quality Estimation (MTQE), which aims to determine the quality of MT without an existing reference. Accurate and reliable MTQE can help project managers and translators alike, as it would allow estimating more precisely the cost of post-editing projects in terms of time and adequate fares by discarding those segments that are not worth post-editing (PE) and have to be translated from scratch. In this paper, we report on the results of an impact study which engages professional translators in PE tasks using MTQE. We measured translators? productivity in different scenarios: translating from scratch, post-editing without using MTQE, and post-editing using MTQE. Our results show that QE information, when accurate, improves post-editing efficiency.en
dc.description.sponsorshipECen
dc.language.isoenen
dc.publisherde Gruyteren
dc.relation.urlhttp://www.degruyter.com/view/j/pralin.2017.108.issue-1/pralin-2017-0032/pralin-2017-0032.xmlen
dc.rightsArchived with thanks to The Prague Bulletin of Mathematical Linguisticsen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectQuality Estimationen
dc.subjectMachine Translationen
dc.subjectPosteditingen
dc.titleQuesting for Quality Estimation A User Studyen
dc.typeArticleen
dc.identifier.journalThe Prague Bulletin of Mathematical Linguisticsen
dc.date.accepted2017-04-
rioxxterms.funderECen
rioxxterms.identifier.projectUoW220617COen
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttps://creativecommons.org/CC BY-NC-ND 4.0en
rioxxterms.licenseref.startdate2017-06-22en
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