Introduction to translation and interpreting technologies
Code: 101483 ECTS Credits: 6| Degree | Type | Year | Semester |
|---|---|---|---|
| 2500249 Translation and Interpreting | FB | 1 | 1 |
Contact
- Name:
- Estel·la Oncins Noguer
- Email:
- estella.oncins@uab.cat
Teaching groups languages
You can check it through this link. To consult the language you will need to enter the CODE of the subject. Please note that this information is provisional until 30 November 2023.
Teachers
- Itziar Andujar Garcia
- Marc Riera Irigoyen
- Eduardo Simon Jimenez
- Estel·la Oncins Noguer
Prerequisites
Students should have basic file management skills (creating, moving, copying, pasting, deleting, zipping and unzipping files and folders, etc.) and application management skills (opening, closing, moving and switching between windows, etc.).
Objectives and Contextualisation
The purpose of this subject is to introduce students to the use of general technological resources applied to translation and interpreting. On successfully completing the subject, students will be able to:
- Demonstrate knowledge of general technological resources for file and data management in translation and interpreting.
- Apply their knowledge to text editing and proofreading in a variety of formats.
- Apply their knowledge to the basic automation of actions and objects in translation and interpreting.
- Apply their knowledge for the basic automation of actions and objects in translation and interpretation (styles and formats and accessibility).
- Adopt a critical approach in relation to the use of AI applied to language and translation.
- Students must demonstrate they know the technological resources needed to translate: Managing files and data through specific resources.
- Work effectively in teams: Accepting and meeting the group standards.
- Work effectively in teams: Cooperating in the definition, organisation, distribution, and fulfilment of the group tasks.
Competences
- Using technological resources in order to translate.
- Working effectively in teams.
Learning Outcomes
- Applying technological resources in order to solve translation problems: Carrying out the linguistic correction of texts through several resources.
- Applying technological resources of collection, preparation and analysis of information in order to translate: Editing texts in several formats, both in analogue and digital format.
- Applying the technological resources in order to solve translation problems: Making repetitive objects and actions automatic in the translation process.
- Students must demonstrate they know the technological resources needed to translate: Managing files and data through specific resources.
- Working effectively in teams: Accepting and meeting the group standards.
- Working effectively in teams: Cooperating in the definition, organisation, distribution, and fulfilment of the group tasks.
Content
- Translation and interpreting work environment management: organising, storing and transferring files/information.
- Tools for the preparation and editing of texts in print and digital format.
- Tools for comparing, reviewing and correcting texts: spellcheckers, track changes, compare documents, dictionaries. Resources for translation.
- Tools for translation process and task automation: styles, formats and accessibility).
- Introduction to CAT tools.
- Introduction to AI in translation: description and critical approaches.
Methodology
The course alternates content sessions with practice sessions (see calendar). Throughout the course, students have to prepare an oral presentation on a technological product related to translation in a group.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Activities
| Title | Hours | ECTS | Learning Outcomes |
|---|---|---|---|
| Type: Directed | |||
| Editing automatization exercise (styles, formats and accessibility) | 6 | 0.24 | 2, 4 |
| Exercises | 6 | 0.24 | 2, 3, 1, 4 |
| Group oral presentation | 6 | 0.24 | 2, 3, 1, 4, 5, 6 |
| Introduction to AI: description and critical approach | 3 | 0.12 | 1, 4 |
| Personalisation and task automation exercise | 6 | 0.24 | 3, 4 |
| Text correction and review exercise | 3 | 0.12 | 2, 1 |
| Type: Supervised | |||
| Attendance of tutorials | 8 | 0.32 | 2, 3, 1, 4, 5, 6 |
| Preparation of group work | 22 | 0.88 | 2, 3, 1, 4, 5, 6 |
| Reading assignments | 8 | 0.32 | 2, 3, 1, 4 |
| Type: Autonomous | |||
| Cooperative work | 30 | 1.2 | 2, 3, 1, 4, 5, 6 |
| Exercises | 15 | 0.6 | 2, 3, 1, 4 |
| Reading literature | 15 | 0.6 | 2, 3, 1, 4 |
| Watching tutorials | 15 | 0.6 | 2, 3, 1, 4 |
Assessment
Continuous assessment
Students must provide evidence of their progress by completing various tasks and tests. These activities are detailed in the table at the end of this section of the Study Guide.
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. In case of retaking, maximum grade will be 5 (Pass).
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 subject may be assessed under the single assessment system in accordance with the terms established in the academic regulations of the UAB and the assessment criteria of the Faculty of Translation and Interpreting.
Students must make an online request within the period established by the faculty and send a copy to the teacher responsible for the subject, for the record.
Single assessment will be carried out in person on one day during week 16 or 17 of the semester. The Academic Management Office will publish the exact date and time on the faculty website.
On the day of the single assessment, teaching staff will ask the student for identification, which should be presented as a valid identification document with a recent photograph (student card, DNI/NIE or passport).
Single assessment activities
Single assessment will include a minimum of three assessment activities of different typology, as stated in the evaluation guidelines.
Grade revision and resit procedures for the subject are the same as those for continual assessment. See the section above in this study guide.
Assessment Activities
| Title | Weighting | Hours | ECTS | Learning Outcomes |
|---|---|---|---|---|
| Face-to-face tutorials related to group work | 0 | 3 | 0.12 | 2, 3, 1, 4, 5, 6 |
| Group oral presentation | 30% | 0 | 0 | 2, 3, 1, 4, 5, 6 |
| Progress test 1 | 35% | 2 | 0.08 | 2, 3, 1, 4 |
| Progress test 2 | 35% | 2 | 0.08 | 2, 3, 1, 4 |
Bibliography
- Baker, Mona; Saldanha, Gabriela (eds.) (2009). Routledge encyclopedia of translation studies. Londres/Nova York: Routledge.
- Diaz Fouces, Oscar; García González, Marta (eds.) (2008). Traducir (con) software libre. Granada: Comares.
- Esselink, Bert (2000). A practical guide to localization. Amsterdam/Philadelphia: John Benjamins.
- Kenny, Dorothy (2022). Machine translation for everyone: Empowering users in the age of artificial intelligence. (Translation and Multilingual Natural Language Processing 18). Berlin: Language Science Press. DOI: 10.5281/zenodo.6653406
- Jiménez-Crespo, Miguel Ángel (2013). Translation and web localization. Milton Park, Abingdon, Oxon: Routledge.
- Martín-Mor, Adrià; Piqué, Ramon; Sánchez-Gijón, Pilar (2016). Tradumàtica, tecnologies de la traducció. Vic: Eumo Editorial.
- Matamala, Anna (2019) Accessibilitat i traducció audiovisual. vol. 24. Biblioteca de Traducció i Interpretació. Vic: Eumo Editorial.
- Moniz, Helena; Parra Escartín, Carla (2023) Towards Responsible Machine Translation - Ethical and Legal Considerations in Machine Translation. ISBN 978-3-031-14688-6
- Oliver, Antoni (2016). Herramientas tecnológicas para traductores. Barcelona: UOC.
- Oliver, Antoni; Moré, Quim (2007). Les tecnologies de la traducció. Barcelona: UOC.
- Sin-wai, Chan (ed.) (2015). Routledge encyclopedia of translation technology. Londres/Nova York: Routledge.
- Somers, Harold (2003). Computers and translation: a translator's guide. Amsterdam/Philadelphia: John Benjamins.
- Revista Tradumàtica: http://revistes.uab.cat/tradumatica
- Ajuda de LibreOffice: http://www.libreoffice.org/get-help/documentation/
- Ajuda de Microsoft Office: http://office.microsoft.com/en-us/support/training-FX101782702.aspx
Software
Specific tools will be presented in the classroom.