Post-editing neural machine translation versus translation memory segments

Pilar Sánchez-Gijón; Joss Moorkens; Andy Way

doi:10.1007/s10590-019-09232-x

ScienceGate Book Chapters

JOURNAL ARTICLE

Post-editing neural machine translation versus translation memory segments

Pilar Sánchez-Gijón Joss Moorkens Andy Way

Year: 2019 Journal: Machine Translation Vol: 33 (1-2)Pages: 31-59 Publisher: Springer Science+Business Media

DOI: 10.1007/s10590-019-09232-x

Get Full-Text PDF Get Analytical Report

Keywords:

Machine translation Computer science Translation (biology) Productivity Metric (unit) Quality (philosophy) Evaluation of machine translation BLEU Natural language processing Example-based machine translation Artificial intelligence Speech recognition Machine translation software usability

Metrics

Cited By

3.69

FWCI (Field Weighted Citation Impact)

Refs

0.94

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Software Engineering Research

Physical Sciences → Computer Science → Information Systems

Post-editing neural machine translation versus translation memory segments

Metrics

Citation History

Topics

Related Documents

Post-editing neural machine translation versus phrase-based machine translation for English–Chinese

Man or machine? Comparing the difficulty of human translation versus neural machine translation post-editing

Integration of Machine Translation and Translation Memory: Post-editing efforts

Post-editing Neural Machine Translation Versus Human Translation for Chinese Essays: A Pilot Study

Post-editing machine translation