Postgraduate Course: Machine Translation (Level 11) (INFR11062)
Course Outline
| School |
School of Informatics |
College |
College of Science and Engineering |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
10 |
| Home subject area |
Informatics |
Other subject area |
None |
| Course website |
http://www.inf.ed.ac.uk/teaching/courses/mt |
|
|
| Course description |
Machine Translation deals with computers translating human languages (for example, from Arabic to English). The field is now sufficiently mature that Google use it to allow millions of people to translate Web Documents each day. This course deals with all aspects of designing, building and evaluating a range of state-of-the-art translation systems. The systems covered are largely statistical and include: word-based, phrase-based, syntax-based and discriminative models. As well as exploring these systems, the course will cover practical aspects such as using very large training sets, evaluation and the open problem of whether linguistics can be useful for translation. |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 2, Available to all students (SV1)
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WebCT enabled: No |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-11 | | | | 17:10 - 18:00 | | | Central | Lecture | | 1-11 | 17:10 - 18:00 | | | | |
| First Class |
Week 1, Monday, 17:10 - 18:00, Zone: Central. Room 2.11, Appleton Tower |
Summary of Intended Learning Outcomes
1 - Provide a written description of the main algorithms used in the system.
2 - Design and justify an approach to the evaluation of the system using state of the art tools and metrics
3 - Analyse the data collected by such an evaluation.
4 - Where the system is designed to deal with large volumes of data the student should also be able to describe how the system handles large data volumes and critically compare the system=s solution with other common solutions to the problem.
5 - Identify where linguistics knowledge is relevant in the design of the system and what influence of linguistic knowledge has on the translation quality and performance of the system.
6 - Given typical MT translation problem students should be able to propose a range of different solutions to the problems and provide justified comparisons between their solutions.
7 - Students should also be able to identify the relationship between the given problem and others covered in the course. |
Assessment Information
Written Examination 70
Assessed Assignments 30
Oral Presentations 0
Assessment
A single piece of coursework dealing with some practical aspect of translation. This will involve analysis of particular problems (for example, reordering or word selection), as well as actual problem solving. Typically, the problems set will be close to research-level.
If delivered in semester 1, this course will have an option for semester 1 only visiting undergraduate students, providing assessment prior to the end of the calendar year. |
| Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Dr Michael Rovatsos
Tel: (0131 6)51 3263
Email: mrovatso@inf.ed.ac.uk |
Course secretary |
Miss Kate Weston
Tel: (0131 6)50 2701
Email: Kate.Weston@ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 6:11 am
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