PLIN019 Machine Translation

Faculty of Arts
Spring 2012
Extent and Intensity
0/2. 3 credit(s). Type of Completion: z (credit).
Teacher(s)
Mgr. et Mgr. Vít Baisa, Ph.D. (seminar tutor)
Guaranteed by
doc. PhDr. Zdeňka Hladká, Dr.
Department of Czech Language – Faculty of Arts
Supplier department: Department of Czech Language – Faculty of Arts
Timetable
Mon 12:30–14:05 G32
Prerequisites
Basic terms and concepts from realm of natural language processing.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 0/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30
fields of study / plans the course is directly associated with
Course objectives
After passing the subject, a student will: - be able to understand basic concepts and facts from machine translation, - have knowledge of both historical and current trends in this area.
Syllabus
  • Basic concepts and historical facts of machine translation (MT). Methods of translation evaluation, general issues, the most important MT tools and systems. 1. Basic concepts and progress of MT from 1940's 2. Overview and basic classification of MT systems 3. Rule-based methods I: from text to semantic representation 4. Rule-based methods II: specific tasks and problems of RBMT 5. Statistical methods I: theory of probability, theory of information 6. Statistical methods II: word-based methods 7. Statistical methods III: phrase-based methods 8. Statistical methods IV: decoding algorithms 9. Statistical methods V: language models 10. Hybrid methods: combination of various methods 11. Partial methods: computer-aided, human-aided methods, translational memories 12. Automatic MT evaluation: concepts, overview of the most important methods
Literature
    recommended literature
  • BAISA, Vít. Problems of Machine Translation Evaluation. In Proceedings of Recent Advances in Slavonic Natural Language Processing 2009. Brno: Masaryk University, 2009, p. 121-126. ISBN 978-80-210-5048-8. URL info
  • Readings in machine translation. Edited by Sergei Nirenburg - H. L. Somers - Yorick A. Wilks. Cambridge, Mass.: MIT Press, 2003, xv, 413. ISBN 0262140748. info
  • ARNOLD, Doug, Lorna BALKAN, Siety MEIJER, R. LEE HUMPHREYS and Louisa SADLER. Machine translation: an introductory guide. London: Blackwells/NCC, 1994. ISBN 18555-42-17X. URL info
  • HUTCHINS, W. John and Harold L. SOMERS. An introduction to machine translation. London: Academic Press, 1992, xxi, 362 s. ISBN 0-12-362830-X. info
Teaching methods
Seminar - lectures each week, cca 5-10 minutes for students' presentations
Assessment methods
Written test. In addition: during a semester, compulsory presentation about a) significant paper / book / publication from the realm of MT; b) significant MT system (+ basic evaluation, comparison with other selected systems)
Language of instruction
Czech
Further Comments
Study Materials
Teacher's information
http://nlp.fi.muni.cz/~xbaisa/plin019/
The course is also listed under the following terms Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019.
  • Enrolment Statistics (Spring 2012, recent)
  • Permalink: https://is.muni.cz/course/phil/spring2012/PLIN019