SubjectsSubjects(version: 845)
Course, academic year 2018/2019
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Parsing and Syntactic Analysis - NTIN046
Title in English: Rozpoznávání a syntaktická analýza
Guaranteed by: Department of Software and Computer Science Education (32-KSVI)
Faculty: Faculty of Mathematics and Physics
Actual: from 2017
Semester: both
E-Credits: 3
Hours per week, examination: 0/2 C [hours/week]
Capacity: unlimited
Min. number of students: unlimited
State of the course: taught
Language: Czech
Teaching methods: full-time
Note: you can enroll for the course repeatedly
you can enroll for the course in winter and in summer semester
Guarantor: RNDr. František Mráz, CSc.
Martin Plátek, CSc.
Class: Informatika Mgr. - volitelný
Classification: Informatics > Theoretical Computer Science
Pre-requisite : NTIN071
Annotation -
Last update: T_KSVI (11.05.2010)
Working seminary focused on methods of robust syntactic analysis of programming languages and natural languages, comparison of known methods and development of new methods for language processing. Subjects discussed within the framework of the seminary have a direct connection to ongoing research within several grant projects. Methods based on various models of list automata and restarting automata will be stressed.
Course completion requirements - Czech
Last update: RNDr. František Mráz, CSc. (15.10.2017)

Podmínkou zápočtu je účast na semináři a alespoň dvě prezentace cizích článků nebo vlastních výsledků v rámci semináře.

Povaha předmětu vylučuje opakování zápočtu.

Literature -
Last update: T_KSVI (11.05.2010)

G. Rozemberg, A. Salomaa (Eds.): Handbook of formal languages, Vol. 1,2,3, Springer, 1997.

F. Otto: Restarting automata. In Esik, Z., Martin-Vide, C. and Mitrana, V. (Eds): Recent Advances in Formal Languages and Applications, pages 269-303, Studies in Computational Intelligence 25, Springer-Verlag, Berlin.

Syllabus -
Last update: T_KSVI (11.05.2010)

There will be discussed results on parsing of natural and formal languages achieved by the participants of the seminary and others. The main topics are:

1. A comparative study of methods for parsing and recognition of languages, complexity of parsing and recognition.

2. A study of complexity classes of various types of (mainly restarting) automata.

3. Analysis by reduction and modeling of phenomena from natural languages by means of formal automata models.

4. Models for parsing pictures by automata with two-dimensional input.

5. Machine learning of languages - grammatical inference.

 
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