
handle: 11393/241613 , 11585/64953
This article reviews the role currently played by corpora in translation teaching and practice. With regard to the former, classroom experiences involving corpusinformed approaches to translation teaching are discussed, and it is argued that such approaches should adopt an educational rather than a training attitude, giving more weight to awareness-raising uses of corpora, along with their obvious documentation roles. Examples of introductory e-learningmaterials about corpus use are presented which are addressed to students and professionals and which take an education-oriented view of translation teaching.With regard to the related issue of corpora in translation practice, the article presents the results of a survey that aimed to find out whether professional translators use corpora or at least know what they are. On the basis of the respondents’ replies, it argues that a more widespread use of these resources is likely to depend on the availability of fast and user-friendly tools for constructing and consulting corpora, and describes some available tools that address this need.
corpora; translation teaching; e-learning, TRANSLATION; DOCUMENTATION; CORPORA
corpora; translation teaching; e-learning, TRANSLATION; DOCUMENTATION; CORPORA
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
