Language and Automation (CMII0090)

Key information

Faculty: Faculty of Arts and Humanities
Teaching department: Centre for Multidisciplinary and Intercultural Inquiry
Credit value: 15

Restrictions: Not available to Affiliate Exchange Students.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module covers various topics on the use of language engineering applications with reference to the work and requirements of staff and freelance translators and language technology specialists. This module is divided into two broad topics: automatic speech recognition (ASR) and machine translation (MT). Students will gain a fundamental understanding of the technologies behind both ASR and MT. The ASR part also includes a look at the use of a speech recognition API, an introduction to basic AI concepts relevant to the technologies, as well as a short preview of the most basic concepts of Python. The MT part includes a brief historical overview of MT, a brief look into pre- and post-editing as well as the assignment which consists of building and evaluating a neural machine translation (NMT) system. As this module runs to capacity, we regret that we cannot accept auditing students.听

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 听听听 Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study: In person
Methods of assessment: 100% Coursework
Mark scheme: Numeric Marks

Other information

Number of students on module in previous year: 40
Module leader: Dr Bettina Bajaj
Who to contact for more information: b.bajaj@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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Important information

The catalogue has been updated with key information about the modules that will run during the 2024/25 academic session. Current and prospective students can browse through the catalogue to consider possible module choices for the coming year.

Please note,听information in the catalogue is听subject to change as teaching and assessment arrangements for 2024/25 may need to be adjusted in line with the University's Feedback and Assessment principles and operating model.

Centrally managed exam durations will be provided on students' individual exam timetables. Arrangements for locally managed exams and in-class activity will be confirmed by the teaching department for the module.

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