2/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Alternate Types of Completion: k (colloquium), z (credit).
Health Sciences (programme LF, N-SZ, specialization Teaching Specialization Optics and Optometrics)
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.
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.
Translation process: lexical analysis and lexicons,
morphological and syntactic analysis and representation of
sentence structure, transfer, problems of meaning representation,
synthesis.
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.
Literature
HUTCHINS, W. John and Harold L. SOMERS. An introduction to machine translation. London: Academic Press, 1992. xxi, 362 s. ISBN 0-12-362830-. info