Professional translation has undergone profound changes with recent advances in machine translation. Humans and computers are interacting more and more in the translation process. Translators must, therefore, be as familiar as possible with the functionality, possibilities, and limitations of computer-assisted translation.
To address this need, the University of Zurich (UZH) Department of Computational Linguistics and the Zurich University of Applied Sciences (ZHAW) offer a Certificate in Advanced Studies (CAS) in Translation Technology and AI.
The goal of this CAS is to familiarize translators with modern translation tools — in particular, neural machine translation — through clear examples and practical exercises.
The course is designed for translators who want to enjoy the benefits of life-long learning. One clear benefit of the program is that translators can gain an edge in knowledge for future professional practice. The course also enables translators to keep abreast of current developments in translation technology and relevant research findings.
Those with a master’s degree in applied linguistics (or a linguistic subject) and prior professional experience are welcome to apply. Individuals with a bachelor’s degree and professional experience may also be admitted upon review of their application materials.
The CAS in Translation Technology and AI will be conducted in German, except for one course day in the second module, “Spoken Language Processing: Speech Recognition, Speaker Recognition, and Automatic Interpreting,” which will be delivered in English.
Course fee is CHF 6,500 (USD 7,200) and classes are held on Friday and Saturday and will run from October 2021 to March 2022. Registration is currently open.
Send an email to weiterbildung@ifi.uzh.ch to express your interest. Deadline for registration is September 20, 2021.
The CAS in Translation Technology and AI graduated its first batch in 2020!
The UZH and ZHAW (Zurich University of Applied Sciences) community congratulates the 2020 graduates who were recently awarded a CAS in Translation Technology and AI. We celebrate their extraordinary achievement and wish them all the success in their professional future!
Course Structure
The CAS in Translation Technology and AI comprises 11 course days of 8 hours each, and it is divided into two modules.
Module 1 covers “Computer-Aided Translation and Basic Programming” and includes an introduction to the Python programming language on every morning of the first module. Learning the basics of Python will enable students to write small programs as well as strengthen their understanding of algorithmic language processing.
Module 2, “Machine Translation and AI,” begins with an introduction to machine learning and neural networks. Click on each Course Day here to read a description of what will be covered.
Background reading and course projects across the twin modules will help students develop the skills to adopt methods currently in use in today’s professional environment.
Assessment
Students are required to complete one certificate of performance per module. Module 1 must be successfully completed with a written test.
After Module 2, students will be asked to write a paper on a topic of their choice from Module 1 or 2. Participants should decide on a topic during the course of the module in consultation with a lecturer.
The paper must have a maximum length of 20 pages and should be written in either German or English.
ECTS Requirement
A total of 12 ECTS (European Credit Transfer and Accumulation System) credits are required to successfully complete the CAS in Translation Technology and AI.
Each module is equivalent to 6 ECTS credits. One ECTS credit corresponds to a workload of 30 hours. This consists of attendance time during the course days as well as preparation and follow up.
Upon course completion, the student will receive a Certificate of Advanced Studies from UZH in Translation Technology and AI (CAS University of Zurich).
For more information about the CAS in Translation Technology and AI and the next course, which starts in fall 2021, click here.
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