FI:PB106 Corpus Linguistic Project I - Course Information
PB106 Corpus Linguistic Project I
Faculty of InformaticsAutumn 2008
- Extent and Intensity
- 0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
- Teacher(s)
- doc. Mgr. Pavel Rychlý, Ph.D. (lecturer)
- Guaranteed by
- prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics - Timetable
- Thu 10:00–11:50 B206
- 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
- Applied Informatics (programme FI, B-AP)
- Bioinformatics (programme FI, B-AP)
- Economic Information Systems (programme ESF, B-SI)
- Informatics with another discipline (programme FI, B-BI)
- Informatics with another discipline (programme FI, B-FY)
- Informatics with another discipline (programme FI, B-GE)
- Informatics with another discipline (programme FI, B-GK)
- Informatics with another discipline (programme FI, B-CH)
- Informatics with another discipline (programme FI, B-IO)
- Informatics with another discipline (programme FI, B-MA)
- Informatics with another discipline (programme FI, B-SO)
- Informatics with another discipline (programme FI, B-TV)
- Informatics (programme FI, B-IN)
- Mathematical Informatics (programme FI, B-IN)
- Mathematics with Informatics (programme PřF, N-MA)
- Parallel and Distributed Systems (programme FI, B-IN)
- Computer Graphics and Image Processing (programme FI, B-IN)
- Computer Networks and Communication (programme FI, B-IN)
- Computer Systems and Data Processing (programme FI, B-IN)
- Programmable Technical Structures (programme FI, B-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-TV)
- Artificial Intelligence and Natural Language Processing (programme FI, B-IN)
- Course objectives
- The aim of the seminar is to provide students with a deeper knowledge
concerning a chosen area of corpus linguistics and practical checking
of this knowledge by working on the project. The popularisation of
corpus linguistics and other areas of language engineering is one of
the main goals of Natural Language Processing Laboratory at the
Faculty of Informatics.
Fundamental information about the Natural Language Processing Laboratory and corpus linguistics in general can be found on http://www.fi.muni.cz/nlp/. - Syllabus
- theme introduction: text corpora, parallel corpora, annotation, statistics, user interfaces
- project selection
- work on a project
- presentation of project results and discussion
- Literature
- Corpus processing for lexical acquisition. Edited by Bran Boguraev - J. (James) Pustejovsky. Cambridge: Bradford Book, 1996, xi, 245 s. ISBN 0-262-02392-X. info
- ALLEN, James. Natural language understanding. 2nd ed. Redwood City: Benjamin/Cummings Publishing Company, 1995, xv, 654 s. ISBN 0-8053-0334-0. info
- Natural language parsing : methods and formalism : ACL/SIGPARSE Workshop : proceedings of the sixth Twente Workshop on Language Technology. Edited by Anton Nijholt - Klaas Sikkel. Enschede: Universiteit Twente, 1993, 190 s. info
- Assessment methods
- Project. Evaluation based on presentation of project results.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- The course is taught annually.
- Enrolment Statistics (Autumn 2008, recent)
- Permalink: https://is.muni.cz/course/fi/autumn2008/PB106