COMPUTER ASSISTED TRANSLATION - 2017/8
Module code: TRAM050
School of Literature and Languages
FRANKENBERG-GARCIA AL Dr (Lit & Langs)
Number of Credits
FHEQ Level 7
Module cap (Maximum number of students)
Overall student workload
Independent Study Hours: 120
Seminar Hours: 22
Tutorial Hours: 8
|Assessment type||Unit of assessment||Weighting|
|School-timetabled exam/test||90-MINUTE CLASS TEST||50|
Prerequisites / Co-requisites
This module is an introduction to the theoretical principles and practical implications of translating in the 21st century. It addresses the impact of technology upon translation process and product. Working hands-on in a computer lab, students will learn how to use translation-memory and terminology-management systems, and also to work with post-editing machine translation output.
Enable students to describe and discuss how technology impacts present-day translation process and product, from the use of electronic files instead of paper to the wide range of ICT tools available for translators today;
Enable students to explain machine translation, translation-memory and terminology-management systems and what their advantages and disadvantages are;
Provide hands-on training on the use of machine-translation post-editing, terminology tools and translation-memory technology.
|Appreciate how technology can impact translation process and product;||KCT|
|Discern when and how to use technology in translation;||CP|
|Appreciate the importance of file management and manage files and backups professionally;||PT|
|Recognize the principles of machine translation and the advantages and disadvantages of using it as an aid to human translation;||KCP|
|Explain terminology, employ terminology tools and store and retrieve terms in terminology-management systems;||KCP|
|Create translation memories and use translation-memory systems with different types of text and different file formats;||P|
|Populate a translation memory with translations produced outside a translation-memory system;||P|
|Practise translation in a computer-assisted translation environment||P|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Indicative content includes:
Translation-memory systems and hands-on practice
Machine translation and post-editing
Terminology, terminology-management tools and hands-on practice
Methods of Teaching / Learning
The learning and teaching strategy is designed to:
Provide students with a good understanding of, and an opportunity to practice using, translation technology. This is in line with the MA in Translation’s overall aims of combining the study of the major principles of, and scholarly approaches to, Translation with opportunities for application and practice.
The learning and teaching methods include:
Lectures will be interspersed with hands-on activities in class and opportunities for group and whole class discussions (22 hours)
Contact hours will be complemented with materials and activities for guided study posted on SurreyLearn (8 hours)
Self-study: reading and practising using translation technologies outside the classroom (120 hours)
The assessment strategy is designed to provide students with the opportunity to demonstrate that they understand the main issues involved in the use of translation technology and are able to use computer-assisted translation tools in their professional lives.
Thus, the summative assessment for this module consists of:
An individual short-answer class test (50%)
A 1500-word essay based on a practical translation technology task. (50%)
Formative assessment and feedback
The students will receive continual informal verbal feedback during the hands-on sessions as well as formal written feedback on their tests and group assignments.
Reading list for COMPUTER ASSISTED TRANSLATION : http://aspire.surrey.ac.uk/modules/tram050
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2017/8 academic year.