Translating and Revising for Localisation
What do We Know? What do We Need to Know
Bibliographic Data
| ID | 12184167 |
|---|---|
| Authors | Ignacio Garcia (0000-0002-0454-2603), Ignacio González García (0000-0003-1882-721X, Western Sydney University, corresponding author) |
| Year | 2008 |
| Volume | 16 |
| Issue | 1-2 |
| Pages | 49-60 |
| Publication date | 2008-01-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Perspectives (JOURNAL) |
| Journal identifiers | ISSN: 0907-676X • E-ISSN: 1747-6623 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/09076760802517630 |
| OpenAlex | W2087043974 |
| Language | EN |
| Citations received | 1 |
| References cited | 17 |
Translating and revising for localisation require specific skills that are distinct from those required for translating and revising for publishing or other purposes. Their distinctiveness is due to several factors, particularly the need to work within a translation memory (TM) editor environment, rather than the usual word-processor. When using TM, translators and revisers are constrained by strict requirements regarding terminology, and leveraging and reuse from memory databases. Recent studies on translating with TM have shown that segmentation imposes a narrow, bottom-up view of the text, which restricts translators in their preferred approach. Other recent studies of revision in general have indicated, moreover, that there is a significant risk that revision may not always improve final text quality. This risk is especially likely to apply to the revision of TM-mediated translation, since revisers are placed in the top-down role of pulling together (sometimes not even sequentially ordered) the segments into a coherent whole. This article argues that the practice of translation and revision for localisation is being shaped by the needs of a new and unprecedented type of user: the TM apparatus itself. Research and discussion will enable participants to better understand their roles and responsibilities within this new scenario
Epistemology · Linguistics · Need to know · Optimal distinctiveness theory · Quality (philosophy · Reuse · Segmentation · Terminology · Translation (biology · Biomedical Text Mining and Ontologies · Computer Science · Natural Language Processing Techniques · Psychology · Topic Modeling · Artificial Intelligence
Translation as a Profession
Expertise and Explicitation in the Translation Process
Computer-aided translation as a distributed cognitive task
The GREVIS Project
Writing and Revising Processes in Professional Translation
Eye‐tracking and Translation Memory Matches
Revision for Quality
Translation Quality Assessment
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |