FI:P061 Introduction to Machine Transl

P061 Introduction to Machine Translation

Faculty of Informatics
Spring 1997

Extent and Intensity

2/0. 2 credit(s). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).

Teacher(s)

prof. PhDr. Karel Pala, CSc. (lecturer)

Guaranteed by

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

The course is also listed under the following terms Autumn 1998, Autumn 1999, Autumn 2000, Autumn 2001.