FI:PV061 Machine Translation Intro - Course Information
PV061 Introduction to Machine TranslationFaculty of Informatics
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
- prof. PhDr. Karel Pala, CSc. (lecturer)
- Guaranteed by
- prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing - Faculty of Informatics
Contact Person: prof. PhDr. Karel Pala, CSc.
- Thu 12:00–13:50 B204
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- there are 41 fields of study the course is directly associated with, display
- Course objectives
- The course offers the information about the basics of machine translation. Main machine translation techniques and systems are discussed. The attention is also payed to the ambiguity problem, relations to the knowledge representation and semantic representation.
- Machine Translation (MT) and its Relation to AI
- History of MT and the state of art.
- Approaches to MT: binary MT, interlingua based MT, techniques using parallel corpora.
- Translation process: lexical analysis and lexicons, morphological and syntactic analysis and representation of sentence structure, transfer, problems of meaning representation, synthesis.
- Key issues of MT: ambiguity problem, knowledge representation, semantic issues, terminology.
- Some successful MT systems: TAUM-METEO, TAUM-AVIATIC, EUROTRA, the existing systems working with Czech language - short overview: TRANSEN, PC-TRANSLATOR.
- EU framework: project like GENELEX, EAGLES, standardization, multipurpose and reusable resources within EC.
- Examples and experiments: small experimental translation system in Prolog - Czech - English.
- 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
- Language of instruction
- Further Comments
- The course is taught annually.