Important notice
The course guide is provisional.
The PDF version of the course guide may take a few days to become available in the DDD.
Localisation and AT
Code: 43776Credits: 15
| Degree programme | Type | Course |
|---|---|---|
| Automatic Translation: Technologies of Translation | OB | 0 |
Contact lecturer
- Name :
- Pilar Sanchez Gijon
- Email :
- pilar.sanchez.gijon@uab.cat
Teaching staff
- María Do Campo Bayon
- Manuel Mata Pastor
- Antoni Oliver Gonzalez
- Sergi Alvarez Vidal
- Oscar Nogueras Bastardo
- Adrià Martin Mor
- Miguel Ángel Oliver Jaume
Group languages
You can consult this information at the end of the document.
Prerequisites
Having taken, or taking, the previous MA modules.
Objectives
- Learn the principles of localization.
- Learn the principles of machine translation.
- Learn the principles of localization engineering.
- Learn how to use translation management and editing systems for localization and machine translation.
- Learn to use translation management and editing systems for the localization of websites, software and apps.
- Learn the specificities of video game localization.
- Learn about the different types of automatic translation and the associated profiles and processes.
Learning outcomes
- Solve problems in new or little-known situations within broader (or multidisciplinary) contexts related to the field of study.
- Integrate knowledge and use it to make judgements in complex situations, with incomplete information, while keeping in mind social and ethical responsibilities.
- Continue the learning process, to a large extent autonomously.
- Define the fundamental principles of localisation.
- Provide a translation of digital products that meets the requirements of the client and the translation situation.
- Define strategies for translating projects.
- Identify the problems associated with the translation of digital products and offer solutions in terms of both localisation and basic programming.
- Identify the problems associated with machine translation and define strategies for machine translation of high quality.
- Identify the code and the translatable text in digital products.
- Detect the implicit intertexts in the product.
- Create and manage localisation databases.
- Integrate machine translation into assisted translation software.
- Make informed, well-reasoned decisions in the field of translation technologies.
- Manage one's own knowledge consistently and systematically, in coordination with other persons and independently, with the emphasis on quality.
Contents
This module focuses on localization in its many variants (web, software, apps and video games) and machine translation (MT):
- Principles of Localization and MT (Machine Translation).
- SEO (Search Engine Optimization). How do SEO techniques improve the localization of a project. How to translate taking into account SEO criteria.
- Localization engineering. Technical processes for extracting translatable texts from localization formats.
- Localization of applications. Description of the localization of apps for mobile devices in the iOS and Android operating systems.
- Localization case studies seminar. Description of professional localization processes, from the reception of a project to its delivery.
- Localization of videogames: description of the localization of videogames and their specificities.
- Machine Translation.
- Automatic translation post-editing.
- Projects with CAT tools.
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| Training activities supervised by the teaching staff | 47 | 1.88 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 |
| Training activities carried out in the classroom | 94 | 3.76 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 |
| Training activities carried out by the student on a self-study basis outside the classroom. | 234 | 9.36 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 |
- Theoretical lectures.
- Seminars.
- Task-based classes for solving problems / cases / exercises.
- Practical exercises in the classroom.
- Reading: books / articles / reports.
- Self-study.
- Writing reports / coursework.
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| Control of practical knowledge | 60% | 0 | 0 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 |
| Classroom practices | 10% | 0 | 0 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 |
| Submission of reports and assignments | 30% | 0 | 0 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 |
-Localization of videogames: 10%
-Localization engineering: 10%
-Localization of apps: 10%
-Localization case study seminar: 20%
-Machine Translation I & II: 10%
-Search Engine Optimization (SEO): 15%
-Basics of localization and machine translation: 5%
-Projects with CAT tools: 15%
-Automatic translation post-editing (TAPE): 5%
CONTINUOUS ASSESSMENT
Students must provide evidence of their progress by completing some tasks. Tasks deadlines will be indicated in the course schedule on the first day of class. The lecturer(s) teaching this course will provide a detailed description and breakdown at beginning of the course.
Review
When publishing final marks prior to recording them on students' transcripts, the lecturer will provide written notification of a date and time for reviewing assessment activities. Students must arrange reviews in agreement with the lecturer.
Missed/failed assessment activities
Students may retake assessment activities they have failed or compensate for any they have missed, provided that those they have actually performed account for a minimum of 66.6% (two thirds) of the subject's final mark and that they have a weighted average mark of at least 3.5.
The lecturer will inform students of the procedure involved, in writing, when publishing final marks prior to recording them on transcripts. The lecturer may set one assignment per failed or missed assessment activity or a single assignment to cover a number of such activities. Under no circumstances may an assessment activity worth 100% of the final mark be retaken or compensated for.
Classification as \"not assessable\"
In the event of the assessment activities a student has performed accounting for just 25% or less of the subject's final mark, their work will be classified as \"not assessable\" on their transcript.
Misconduct in assessment activities
Students who engage in misconduct (plagiarism, copying, personation, etc.) in an assessment activity will receive a mark of “0” for the activity in question. In the case of misconduct in more than one assessment activity, the student involved will be given a final mark of “0” for the subject. Assessment activities in which irregularities have occurred (e.g. plagiarism, copying, impersonation) are excluded from recovery.
SINGLE ASSESSMENT
This module is not suitable for single assessment.
Bibliography
Each subject of the module will complete the following list with more specific bibliography.
Diaz Fouces, O., García González, M. (eds.) (2008). Traducir (con) software libre. Granada: Comares.
Esselink, B. (2000). A practical guide to localization. Amsterdam/Philadelphia: John Benjamins.
Jiménez-Crespo, M. A. (2013). Translation and Web Localization. Milton Park, Abingdon, Oxon: Routledge.
Kenny, D. (2009). Corpora. En: Mona Baker y Gabriela Saldanha (eds.), Routledge encyclopedia of translation studies (p. 59-62). Londres: Routledge.
Martín-Mor, A.; Piqué, R.; Sánchez-Gijón, P. (2016). Tradumàtica: Tecnologies de la traducció. Vic: Eumo Editorial.
O’Hagan, M. (2009). \"Computer-aided translation (CAT)\". En: Mona Baker y Gabriela Saldanha (eds.), Routledge encyclopedia of translation studies (p. 48-51). Londres: Routledge.
Oliver, A. (2016). Herramientas tecnológicas para traductores. Barcelona: UOC.
Oliver, A.; Moré, Q. (2007). Les tecnologies de la traducció. Barcelona: UOC.
Ping, K. (2009). \"Machine translation\". En: Mona Baker y Gabriela Saldanha (eds.), Routledge encyclopedia of translation studies (p. 162-168). Londres: Routledge.
Somers, H. (ed.) (2003). Computers and translation: A translator’s guide. Amsterdam-Philadelphia: John Benjamins.
Software
-Assisted-translation tools.
-Localizacion engineering tools.
-Apps localization tools.
-Videogame localization tools.
-Localization tools.
-Machine translation tools.
-Machine translation post-editing tools.
-Free software and commercial software.
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE
| Type of teaching | Group | Language | Semester | Shift |
|---|---|---|---|---|
| (TEm) Theory (master) | 1 | Catalan | first semester | afternoon |