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Advanced Information Technology for Translation

Objectives

Expand competencies in the use of computer-assisted translation tools.
Become familiar with translation project management tools.
Understand and critically use the artificial intelligence tools available to translators, including machine translation and translation support tools.
Broaden knowledge of interoperability in the creation, processing, and transfer of data among computer-assisted translation tools.
Expand students’ knowledge of the main developments in translation and technology.

General characterization

Code

711121071

Credits

6.0

Responsible teacher

Marco António Franco Neves

Hours

Weekly - 4

Total - 168

Teaching language

Portuguese

Prerequisites

N/A

Bibliography

  • Alonso, E., & Calvo, E. (2015). Developing a blueprint for a technology-mediated approach to translation studies. Meta: Journal des traducteurs/Meta: Translators' Journal, 60(1), 135-157.
  • Bywood, L., Volk, M., Fishel, M., & Georgakopoulou, P. (2017). Parallel subtitle corpora and their applications in machine translation and translatology. Perspectives, 25(4), 569-586.
  • Cadwell, P., O'Brien, S., & Teixeira, C. S. (2018). Resistance and accommodation: Factors for the (non-) adoption of machine translation among professional translators. Perspectives, 26(3), 301-321.
  • Doherty, S., & Kenny, D. (2014). The design and evaluation of a statistical machine translation syllabus for translation students. The Interpreter and Translator Trainer, 8(2), 295-315.
  • O'Hagan, M. (2016). Massively open translation: Unpacking the relationship between technology and translation in the 21st century. International Journal of Communication, 10, 929-946.

Teaching method

The classes take place in a computer room. They include short demonstrations by the teacher to show software functions, or demonstrations where students also do the steps being shown. Students will also research one particular specialised area in the second half of the course and present their findings to their peers. Material will be made available on the Faculty's elearning platform.

Evaluation method

Continuous assessment - Attendance and Participation(50%), Oral Exam(50%)

Subject matter

(1) Advanced features of computer-assisted translation tools
(2) Online versions of computer-assisted translation tools
(3) Artificial intelligence tools for translators
(4) Translation project management tools
(5) Interoperability between tools
(6) New developments in translation technologies