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@article{ART002453348},
author={Soon Mi Kim and Shin, Hosup and LEE JUNHO},
title={A University-Industry Joint Study on Machine Translation Post-Editing Productivity and MT Engine Error Rate},
journal={The Journal of Translation Studies},
issn={1229-795X},
year={2019},
volume={20},
number={1},
pages={41-76},
doi={10.15749/jts.2019.20.1.002}

TY - JOUR
AU - Soon Mi Kim
AU - Shin, Hosup
AU - LEE JUNHO
TI - A University-Industry Joint Study on Machine Translation Post-Editing Productivity and MT Engine Error Rate
JO - The Journal of Translation Studies
PY - 2019
VL - 20
IS - 1
PB - The Korean Association for Translation Studies
SP - 41
EP - 76
SN - 1229-795X
AB - As machine translation post-editing (MTPE) has become a common practice among language service providers (LSPs), and universities have an urgent need to incorporate MTPE into their curriculum, a common interest on MTPE practices led to the forming of a university-industry joint research team between The Korean Association for Translation Studies (KATS) and The Korea IT Globalization Organization (KIGO). This collaborative study aims to explore the following issues: First, the productivity of MTPE results gauged in terms of two factors, the amount of time spent on post-editing of raw MT outputs against human translation time, and TER (Translation Edit Rate) of MTPE results; Second, error rates of the most representative free online machine translations (FOMT) for the English-Korean language pair, such as Google Translate, Naver’s Papago, and Kakao i in terms of mistranslation, accuracy, terminology, formatting, and spelling. Fifteen undergraduate and graduate students majoring translation participated in the study to produce translation and MTPE results of five IT manuals provided by the participating LSPs. For 13 out of 15 participants, the temporal and technical MTPE　efforts were found to be much reduced. Regarding the MT engine error rate, Google Translate was found to have a much lower error rate against Papago and Kakao i in processing IT manuals; however, this result needs further investigation with more variables.
KW - MTPE;industry-university joint research;translation and technology;MT productivity;machine translation;language service market
DO - 10.15749/jts.2019.20.1.002
ER -

Soon Mi Kim, Shin, Hosup and LEE JUNHO. (2019). A University-Industry Joint Study on Machine Translation Post-Editing Productivity and MT Engine Error Rate. The Journal of Translation Studies, 20(1), 41-76.

Soon Mi Kim, Shin, Hosup and LEE JUNHO. 2019, "A University-Industry Joint Study on Machine Translation Post-Editing Productivity and MT Engine Error Rate", The Journal of Translation Studies, vol.20, no.1 pp.41-76. Available from: doi:10.15749/jts.2019.20.1.002

Soon Mi Kim, Shin, Hosup, LEE JUNHO "A University-Industry Joint Study on Machine Translation Post-Editing Productivity and MT Engine Error Rate" The Journal of Translation Studies 20.1 pp.41-76 (2019) : 41.

Soon Mi Kim, Shin, Hosup, LEE JUNHO. A University-Industry Joint Study on Machine Translation Post-Editing Productivity and MT Engine Error Rate. 2019; 20(1), 41-76. Available from: doi:10.15749/jts.2019.20.1.002

Soon Mi Kim, Shin, Hosup and LEE JUNHO. "A University-Industry Joint Study on Machine Translation Post-Editing Productivity and MT Engine Error Rate" The Journal of Translation Studies 20, no.1 (2019) : 41-76.doi: 10.15749/jts.2019.20.1.002

Soon Mi Kim; Shin, Hosup; LEE JUNHO. A University-Industry Joint Study on Machine Translation Post-Editing Productivity and MT Engine Error Rate. The Journal of Translation Studies, 20(1), 41-76. doi: 10.15749/jts.2019.20.1.002

Soon Mi Kim; Shin, Hosup; LEE JUNHO. A University-Industry Joint Study on Machine Translation Post-Editing Productivity and MT Engine Error Rate. The Journal of Translation Studies. 2019; 20(1) 41-76. doi: 10.15749/jts.2019.20.1.002

Soon Mi Kim, Shin, Hosup, LEE JUNHO. A University-Industry Joint Study on Machine Translation Post-Editing Productivity and MT Engine Error Rate. 2019; 20(1), 41-76. Available from: doi:10.15749/jts.2019.20.1.002

Soon Mi Kim, Shin, Hosup and LEE JUNHO. "A University-Industry Joint Study on Machine Translation Post-Editing Productivity and MT Engine Error Rate" The Journal of Translation Studies 20, no.1 (2019) : 41-76.doi: 10.15749/jts.2019.20.1.002