|
Lecturer(s)
|
-
Matlach Vladimír, Mgr. Ph.D.
|
|
Course content
|
Detailed expository about chosen the most important approaches in modern formal linguistics, Chomskyan GB and minimalism, lexical functional grammar (J. Bresnan), theory of optimalism, categorial grammar and different approaches of dependency grammer. Whole lecture will be also aimed to structural linguistics of Prague School and their results.
|
|
Learning activities and teaching methods
|
|
Lecture
|
|
Learning outcomes
|
The course is a continuation of Introduction to Machine Learning, providing knowledge of the current trend of using artificial neural networks in machine learning and its potential to solve complex problems applicable to the digital humanities. Neural Networks - History, current results, reasons for effectiveness, available libraries - Practical applications in the digital humanities - Theory, design, training and evaluation methods, architectures used Natural language processing - Text classification on practical tasks, text generation - Use and creation of word-embeddings, semantics Multimedia processing with neural networks - Basic concepts of image, audio and video processing - Available libraries for image, audio and video annotation - Creating OCR, multimedia classifier, etc.
|
|
Prerequisites
|
The lecture is just for PhD students.
|
|
Assessment methods and criteria
|
Oral exam
(1) Elaboration and completion of assigned tasks. (2) Reading the assigned materials.
|
|
Recommended literature
|
-
Hajičová, Panevová, Sgall. (2003). Úvod do teoretické a počítačové lingvistiky. Praha.
-
Sells, P. (1985). Lectures on Contemporary Syntactic Theories. Stanford.
-
Stockwell, R. M. (1977). Fundations of Syntactic Theory. New Persey.
|