P061 Introduction to Machine Translation

Faculty of Informatics
Autumn 2000
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).
Teacher(s)
prof. PhDr. Karel Pala, CSc. (lecturer)
Guaranteed by
prof. PhDr. Karel Pala, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: prof. PhDr. Karel Pala, CSc.
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
Syllabus
  • 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, computer aided translation with postediting.
  • 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, METAL, EUROTRA, the existing systems working with Czech language - short overview: TRANSEN, PC-TRANSLATOR, MATRACE.
  • EU framework: project like GENELEX, EAGLES, standardization, multipurpose and reusable resources within EC.
  • Examples and experiments: small experimental translation system in Prolog - Czech - English.
Language of instruction
Czech
Further Comments
The course is taught annually.
The course is taught: every week.
The course is also listed under the following terms Spring 1997, Autumn 1998, Autumn 1999, Autumn 2001.
  • Enrolment Statistics (Autumn 2000, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2000/P061