translated by Google

Circuit Natural Language Processing

Subcategories:

Formal structure of natural language

Annotation:
The formal description of native language is based on a division into the linguistic plane (morphological, syntactic, and semantic). The candidate will get acquainted with basic theoretical approaches and concepts in relation to individual levels of language (finite automata, formal grammars, logical formalisms, etc.) as well as the construction of standard tools (morphological, syntactical analyzers).

Warp:
Basic grammars for the natural language of the words, rules and structures, types of grammars (CFG, CCG, HPSG, LTAG, LFG), valency (morphology), morphological algorithms (morphology), morphology tools (analyzers, lemmatists, verbal frameworks, surface and depth frames, syntactic analysis and analyzers (statistical parsing, chunking).

Basic study material:
J. Allen, Natural language understanding, chapters 1-7.
R. Mitkov, The Oxford Handbook of Computational Linguistics, Oxford University Press, 2009, chap. 1-5, 8, 10-12, 19, 24, 26

Tutor: doc. Aleš Horák, prof. Karel Pala, doc. Pavel Rychlý, dr. Pavel Šmerk

Other Recommended Literature:
C. Manning and H. Schütze, Foundations of Statistical Natural Language Processing, MIT Press, 1999.

Representation of meaning and knowledge

Annotation:
Representation of meaning is in the field of computer language processing the key candidate is familiarized with lexical and logical semantics and with techniques and tools used to grasp the meaning of words and phrases (definition of meaning, electronic glossary systems, semantic networks). Logical analysis of natural language sentences involves mastering the logical formalisms and tools they use (normal translational algorithm).

Warp:
Lexical meaning of words and phrases (collocation), semantic networks, frameworks, ontology, WSD word recognition, semantic classification of verbs, compositionality, meaning and reference, concept of definition and analysis, semantic representation of sentences based on predicate logic and intensional logic, analysis - normal translational algorithm, logical inference and common sense.

Basic study material:
J. Allen, Natural language understanding, 1995, chapters 8-12
R. Mitkov, The Oxford Handbook of Computational Linguistics, Oxford University Press, 2009, chap. 5, 8, 9, 13, 14, 21, 25, 31

Tutor: doc. Aleš Horák, prof. Karel Pala, doc. Pavel Rychlý

Other Recommended Literature:
P. Materna, Conceptual Systems, LOGOS Verlag Berlin, 2004.

Pragmatic aspects of communication

Annotation:
Pragmatic aspects of communication include a theoretical analysis of the communication situation. The candidate will get acquainted with external and internal pragmatics, speech analysis, and techniques and tools used to analyze text relationships (anafor recognition algorithms, speech segmentation). In addition, it includes dialogue relationships and analysis of the emotional attitudes of the language user.

Warp:
Internal pragmatics, external pragmatics, communication situation, speech analysis, anaphor, anaphoric relations and their recognition in the text, segments in speech and their recognition, dialog systems, sentiment analysis.

Basic study material:
J. Allen, Natural language understanding, 1995, chapters 13-17
R. Mitkov, The Oxford Handbook of Computational Linguistics, Oxford University Press, 2009, chap. 6-7, 15-17, 20-25, 31, 35-38

Tutor: doc. Aleš Horák, prof. Karel Pala, doc. Pavel Rychlý

Other Recommended Literature:
Grice, H. Paul. Studies in the Way of Words. Harvard University Press, 1989.
Mira Ariel. Defining Pragmatics. Cambridge University Press, 2010.

Pragmatic aspects of communication

Annotation:
Pragmatic aspects of communication include a theoretical analysis of the communication situation. The candidate will get acquainted with external and internal pragmatics, speech analysis, and techniques and tools used to analyze text relationships (anafor recognition algorithms, speech segmentation). In addition, it includes dialogue relationships and analysis of the emotional attitudes of the language user.

Warp:
Internal pragmatics, external pragmatics, communication situation, speech analysis, anaphor, anaphoric relations and their recognition in the text, segments in speech and their recognition, dialog systems, sentiment analysis.

Basic study material:
J. Allen, Natural language understanding, 1995, chapters 13-17
R. Mitkov, The Oxford Handbook of Computational Linguistics, Oxford University Press, 2009, chap. 6-7, 15-17, 20-25, 31, 35-38

Tutor: doc. Ivan Kopeček, doc. Aleš Horák, prof. Karel Pala

Other Recommended Literature:
Grice, H. Paul. Studies in the Way of Words. Harvard University Press, 1989.
Mira Ariel. Defining Pragmatics. Cambridge University Press, 2010.

Machine translation and its relations to artificial intelligence

Annotation:
The machine translation area is an application area in which the theoretical knowledge and tools obtained and developed in the computer processing of the language as a whole are verified and tested. The candidate has the opportunity to try to master the tasks that belong to the most difficult ones in relation to artificial intelligence.

Warp:
Approaches to machine translation - regular, statistical, hybrid; regular machine translation - analysis, transfer and synthesis; statistical machine translation - roles of parallel corpuses, language models; translation based on phrases and examples; evaluation of machine translation results - metrics.

Basic study material:
C. Goutte et al., Learning machine translation, MIT Press, 2009, Chapters 1-6
WJ Hutchins \ & HL Somers, An Introduction to Machine Translation, Academic Press, 1992, Chapters 3-5.

Tutor: doc. Aleš Horák, prof. Karel Pala, doc. Pavel Rychlý

Other Recommended Literature:
P. Koehn, Statistical machine translation, CUP, 2010.