Language industry views on the profile of the post-editor
Bibliographic Data
| ID | 22024784 |
|---|---|
| Authors | Clara Ginovart Cid (0000-0001-9764-5662, Universitat Pompeu Fabra), Carme Colominas (Universitat Pompeu Fabra), Antoni Oliver (0000-0001-8399-3770, Universitat Oberta de Catalunya) |
| Year | 2020 |
| Volume | 9 |
| Issue | 2 |
| Pages | 283-313 |
| Publication date | 2020-12-31 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Translation Spaces (JOURNAL) |
| Journal identifiers | ISSN: 2211-3711 • E-ISSN: 2211-372X |
| Publisher | John Benjamins Publishing Company (PUBLISHER • NL) |
| DOI | 10.1075/ts.19010.cid |
| OpenAlex | W3000640754 |
| Language | EN |
| Citations received | 7 |
| References cited | 24 |
The more language service companies (LSCs) include machine translation post-editing (MTPE) in their workflows, the more important it is to know how the PE task is performed, who the post-editors are, and what skills they should have. This research is designed to address such questions. It aims to deepen our knowledge of current practices to later create new training content and adapt existing training methodologies to different types of audiences. Based on the results of a survey of LSCs and other companies who currently use MTPE, we present a picture of evolving practices in the contemporary European MTPE market, and opinions held about this emerging métier . Our research finds that a high level of expertise in MTPE may not necessarily be indicative of the industry, and that the post-editor of MT has a multi- and transdisciplinary profile
Business · Knowledge management · Machine translation · Workflow · Computer Science · Engineering · Natural Language Processing Techniques · Text Readability and Simplification · Translation Studies and Practices · Artificial Intelligence · Marketing
Les stratégies de la post-édition en traduction automatique des proverbes par des apprenants FLE et de traduction
The Language Engineer
La posedición como herramienta para el desarrollo de las competencias en traducción inversa
The effectiveness of translation technology training
L’évaluation de la postédition « retour » en contexte d’apprentissage
In search of a fair MTPE pricing model
Who's afraid of AI-powered translation
| Unique citing works | 7 |
|---|---|
| Citations per year | 1,4 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |