|
ECTS:
|
4
|
Lecturers in charge:
|
Prof. dr. sc.
Šandor Dembitz
|
Take exam:
|
Studomat
|
English level:
1,1,0
|
In agreement with the students enrolled in the course, the lecturer will provide as many teaching elements in English as possible, or in both English and Croatian for mixed groups (i.e., bilingual teaching materials and bilingual exams). Level 2 also includes additional individual consultations with foreign students (as in Level 1) for the teaching elements which will be held in Croatian.
|
|
Load:
|
| Lecture type | Total |
| Lectures |
30 |
* Load is given in academic hour (1 academic hour = 45 minutes)
|
Description:
|
Theoretical foundations of natural language processing (NLP). Data resources: dictionaries and corpora, markup schemes and tag sets. Learning from corpora: lexical acquisition, word sense disambiguation, language models. Grammars: Hidden Markov Models (HMMs), Context Free Grammars (CFGs), and other. Grammar model implementation in part-of-speech tagging, and parsing. NLP preprocessing in speech synthesis, NLP postprocessing in speech recognition. Methods and tools for machine translation.
|
Literature:
|
- Foundations of Statistical Natural Language Processing; Christopher D. Manning, Hinrich Schütze; MIT Press; 1999; ISBN: 978-0262133609
- Text to Speech Synthesis: New Paradigms and Advances; Shrikanth Narayanan, Abeer Alwan; Prentice Hall PTR; 2004; ISBN: 978-0131456617
- The Oxford Handbook of Computational Linguistics; Ruslan Mitkov (ed.); Oxford University Press, USA; 2005; ISBN: 978-0199276349
- Speech and Language Processing (2nd edition); Daniel Jurafsky, James H. Martin; Prentice Hall; 2008; ISBN: 978-0131873216
- Introduction to Predictive Learning; Vladimir Cherkassky, Yunqian Ma; Springer; 2011; ISBN: 978-1441902580
|
|
3. semester
|
course for
profile
Telecommunications and Informatics
|
|
