Course syllabus

2019, Semester 2 (30.00 points)

 

Course convenor:

Dr Vanessa Enriquez Raído

Email: v.enriquez@auckland.ac.nz

Teaching staff:

Dr Vanessa Enriquez Raído

Email: v.enriquez@auckland.ac.nz

Class time:

Please check timetable and room details on Student Services Online for latest information.

Course description and objectives:

This course provides students with a wide range of computer skills and resources for professional translators, covering multiple topics on translation technology. Students will gain knowledge on computer-assisted terminology management (e.g., SDL MultiTerm 2019); obtain hands-on experience in the use of proprietary computer-aided translation tools (e.g., SDL Trados Studio 2019 ); and develop critical thinking by, for example, preparing thorough presentations that examine the functionality and impact of various desktop translation memory tools (e.g., OmegaT and Across), cloud-based translation memory systems (e.g., Wordfast Anywhere, Memsource Cloud, Wordbee and XTM Cloud) and and free online machine translations (FOMT) tools (e.g., Baidu, DeepL, etc.) on translators and translations. This course is the perfect introduction to modern digital translation environments, providing students with practical advice on how latest translation technologies and tools can  best be integrated into the translation process.

Main topics:

  • Principles of Computer-aided Translation (CAT) technology
  • Terminology management 
  • Machine translation and post-editing
  • Desktop and cloud-based CAT tools

Class content schedule:

Week 1
  • Course overview

  • The global translation context

  • Features and principles of CAT technology

Week 2
  • Principles of terminology management

  • SDL MultiTerm 2019

    • Searching termbases

    • Editing and adding entries

    • Importing glossaries from Excel

Week 3
  • Machine translation and post-editing 

    • Machine translation history

    • Machine translation systems

    • Machine translation evaluation

    • Controlled Language and pre-editing

    • Post-editing machine-translated output

Assignment 1 (machine-assisted translation) handed-out

Week 4
    • SDL Trados Studio 2019

      • Overview of the user interface

      • Creating a translation memory from scratch 

      • Translating single files

    Week 5
    • SDL Trados Studio 2019

      • Segment fragment matching
      • Creating  projects with multiple files

    • Selection of CAT tools for group presentations (sign-up sheet)

    Assignment 1 (machine-assisted translation) handed in

     Week 6
    • SDL Trados Studio 2019

      • Creating analysis reports and preparing quotes

      • Working with project packages
    • Guidelines for group presentations

    Week 7
    • SDL Trados Studio 2019

      • Working with SDL WorldServer packages

      • Aligning files

      • Generating auto-suggest dictionaries
      • Creating Termbases from Excel Glossaries

       

    Week 8
    • SDL Trados Studio 2019

        • Leveraging legacy resources
        • Processing multiples files with projects
        • Segment verification

       

    Week 9

    SDL Trados Studio:

    • Translating merged files

    • Reviewing files

    • Automated quality assurance

    Week 10

    • Assignment 02 (translation project) carried out in class
    • Group work for oral presentations

    Weeks 11 & 12

    • Assignment 03 - Group presentations

      • Week 11: OmegaT,  MemSource Cloud, Wordfast Anywhere

      • Week 12: MateCat, Wordbee, MemoQ

    Course materials:

    Topic-related materials will be provided in class in the form of course-packs (i.e. training books). These will include theoretical explanations and practical exercises for each topic discussed. Course materials will also include PowerPoint presentations and other digital materials uploaded onto Canvas.

    Teaching format and methods:

    Course contents will be taught through lectures, guided group discussions and individual as well as collective practice. Teaching methods will promote both individual work and teamwork for students to develop their own specialised knowledge, intellectual skills and interpersonal qualities. Students will also have opportunities to actively participate in their own learning processes, structure their own learning experiences and relate them to the course syllabus, and gradually become independent learners.

    Expectations of students:

    Students are expected to read the contents in every course-pack, carry out multiple exercises on each topic discussed and demonstrate theoretical and technical knowledge regarding the use of various computer-aided translation tools. Students are also expected to actively participate in class, be involved in their own learning process and cross-evaluate peer work as required.

    Student assessment:

    All assessment is internal. The final grade will be composed of two assignments and one group presentation (see below) involving a series of practical and reflective activities and tasks aimed at applying the skills acquired in the course. Detailed instructions on each assignment will be provided and discussed in class.

    Assignment 1 (worth 20%): Machine-assisted translation

    Assignment 2 (worth 45%): Translating with SDL Trados Studio 2019

    Group presentation (worth 35%): Working in a group to introduce and assess a specific translation memory tool (desktop or cloud-based) and simulate a translation work environment.

    Requirements for presentation and submission of work:

    Assignments will be prepared electronically, uploaded onto Canvas and submitted in electronic format via e-mail.

    File names

    Please name your files in the following way: "FamilyName_StudentID_Assignment1#.doc"

    Example: "Enriquez_ 234567_assignment1.doc"

    Assignments policy:

    Extensions

    In serious circumstances* beyond the student’s control (see below), s/he may request an extension from the course coordinator. The request should:

    • be made by email at least 2-3 days BEFORE the due date for the assignment
    • provide an explanation of the circumstances
    • be supported by a satisfactory medical certificate or other documentation

    If an extension is granted, you will be given a new due date. Only ONE extension can be granted to a student per assignment. Only in extreme circumstances will late requests for extensions be considered.

    *Serious circumstances means sudden illness (in the case of in-class tests etc.) or long-term illness (for essays etc. done over a week or more).  It does NOT mean time management difficulties, wanting to go on holiday, relatives visiting from overseas, computer breakdowns, etc.  

    Deadlines and penalties for lateness

    Any work submitted after the due date and without an extension form or permission in writing from the course convenor will be treated as overdue and penalties will apply (see below). 

    The mark given to an overdue assignment will be reduced by up to 10 percent (at the discretion of the course convenor) of the total possible marks for that assignment for each day that it is late up to 5 days (e.g. for an assignment marked out of 20, deduct up to 2 marks per day up to a total of 10 marks). Assignments which are due on Friday, or the day before a university holiday, but are not received until the next working day will be counted as TWO days late.

    Overdue assignments that are submitted more than five days late will not be marked; nor will assignments be marked if submitted after the assignment has been marked and returned.  Unmarked assignments will be held by the marker until the end of the semester, and in cases where the final grade for the student is borderline (D+), the marker may choose to award a minimal completion mark. For this reason, it is better to hand in an assignment late than not at all.

    Plagiarism and use of information and communication technologies:

    Plagiarism

    The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting his or her learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the world-wide web. A student's assessed work may be reviewed against electronic source material using computerised detection mechanisms. Upon reasonable request, students may be required to provide an electronic version of their work for computerised review.

    The penalties for plagiarism are severe and can range from gaining no marks for the assignment to disciplinary action under the terms of the Examination Regulations. For further information and advice on University regulations and how to reference appropriately, see http://www.cite.auckland.ac.nz/index.php?p=overview.

    All students entering the University are required to complete the Academic Integrity Module. For further information on this module please see https://www.auckland.ac.nz/en/about/learning-and-teaching/policies-guidelines-and-procedures/academic-integrity-info-for-students/about-academic-integrity/academic-integrity-course.html.

    Information about third-party assistance in postgraduate coursework can be found here: http://www.auckland.ac.nz/webdav/site/central/shared/about/teaching-and-learning/policies-guidelines-procedures/documents/guidelines-third-party-assistance-ugpg-senate-appr-05112007.pdf.

    Information and communication technologies

    If students in any course wish to set up a Facebook page for the course or to use any other form of ICT, they need to be aware that the  University of Auckland Information and Communications Technology (ICT) Statute sets out rules governing the use of any ICT hardware or software at or for University activities. It forbids using ICT “to store, display or communicate … files containing any text, image that is deceptive or misleading, is abusive or defamatory, contravenes anyone’s privacy… or that reproduces all or part of any work in breach of the Copyright Act 1994”. The Statute refers students to the relevant University Disciplinary Statute and the penalties that may apply. It can be found at https://policies.auckland.ac.nz/student-undergraduate.aspx.

    Inclusive learning:

    Students are urged to discuss privately any impairment-related requirements face-to-face and/or in written form with the course convenor and course lecturers.

    Complaint procedures:

    The University of Auckland seeks to encourage the prompt and informal resolution of all students’ learning and research grievances as they arise. Students should be aware that support is available through either their class or faculty representative, the Student Advocacy Network or their Students' Association. For detailed information on academic disputes and complaints, see http://www.auckland.ac.nz/uoa/home/for/current-students/cs-academic-information/cs-regulations-policies-and-guidelines/academic-disputes-and-complaints.

     

    Well-being always comes first

    We all go through tough times during the semester, or see our friends struggling. There is lots of help out there - for more information, look at this Canvas page, which has links to various support services in the University and the wider community.

    Course summary:

    Date Details Due