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Translation Software

Objectives

Understand and effectively utilize computer-assisted translation (CAT) tools in alignment with professional standards.
Demonstrate familiarity with key concepts in translation technology, including translation memories and terminology databases.
Identify and apply research tools that are essential for professional translators.
Implement best practices for organizing translation memories and terminology to ensure consistency and quality throughout the translation process.

General characterization

Code

01100178

Credits

6.0

Responsible teacher

Marco António Franco Neves

Hours

Weekly - 4

Total - 168

Teaching language

Portuguese

Prerequisites

N/A

Bibliography

  • Bowker, L. (2014). Computer-aided translation: Translator training. In Routledge encyclopedia of translation technology (pp. 88-104). Routledge.
  • Bowker, L., & Fisher, D. (2010). Computer-aided translation. Handbook of translation studies, 1, 60-65.
  • Carmo, F. E. M. (2017). Post-editing: a theoretical and practical challenge for translation studies and machine learning [tese de doutoramento]. Disponível em https://repositorio-aberto.up.pt/bitstream/10216/107518/2/215283.pdf
  • Chaves, T. L. (2022). O uso do memoQ nas tarefas de pré-tradução: revisão crítica de funções e sugestões de melhoria. Translation Matters, 4(1).
  • Poibeau, T. (2017). Machine translation. MIT Press.

Teaching method

Concepts will be taught through presentations and practical demonstrations, while the practical aspects of the course will be covered through guided exercises, with the goal of progressively increasing student autonomy.

 

Evaluation method

Continuous assessment - Attendance and Participation(30%), Exam(40%), Written Essay(30%)

Subject matter

1. Basic aspects of how a computer works
2. Introduction to computer-assisted translation tools
3. Project creation and resource management
4. Translation memories: concordance and leveraging
5. Term bases
6. Preparing documents for translation
7. Exporting and importing translation memories
8. Exporting and importing term bases
9. Quality control tools
10. Artificial intelligence for translators
11. Workflows
12. Best practices / Worst practices