P061 Introduction to Machine Translation

Faculty of Informatics
Autumn 2001
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.
Timetable
Tue 16:00–17:50 B411
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.
  • 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.
Language of instruction
Czech
Further Comments
The course is taught annually.
The course is also listed under the following terms Spring 1997, Autumn 1998, Autumn 1999, Autumn 2000.

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.

P061 Introduction to Machine Translation

Faculty of Informatics
Autumn 1999
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 2000, Autumn 2001.

P061 Introduction to Machine Translation

Faculty of Informatics
Autumn 1998
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
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 1999, Autumn 2000, Autumn 2001.

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.

P061 Úvod do strojového překladu

Faculty of Informatics
Spring 2002

The course is not taught in Spring 2002

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
The course is also listed under the following terms Spring 1997, Autumn 1998, Autumn 1999, Autumn 2000, Autumn 2001.

P061 Úvod do strojového překladu

Faculty of Informatics
Spring 2001

The course is not taught in Spring 2001

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
The course is also listed under the following terms Spring 1997, Autumn 1998, Autumn 1999, Autumn 2000, Autumn 2001.

P061 Úvod do strojového překladu

Faculty of Informatics
Spring 2000

The course is not taught in Spring 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
The course is also listed under the following terms Spring 1997, Autumn 1998, Autumn 1999, Autumn 2000, Autumn 2001.
  • Enrolment Statistics (recent)