UIINP31 Natural Language Processing II

Faculty of Philosophy and Science in Opava
Summer 2020
Extent and Intensity
2/1/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
RNDr. Miroslav Langer, Ph.D. (lecturer)
Guaranteed by
RNDr. Miroslav Langer, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Prerequisites (in Czech)
TYP_STUDIA(B)
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
The main topic is the automation of translation and proofreading (in relation to the course Natural Language Processing I). In this course, students will learn about the most serious problems of computer understanding of the content of natural language texts and the principles of their solution.
Learning outcomes
Students will be able to:
- identify and describe problems of computer understanding of the content of texts in natural language; - compare and highlight differences in the principles of their solution
Syllabus
  • 1. Automatic referencing.
  • 2. Machine translation. A word-for-word method, its inherent limitations, and further development to so-called direct translation systems (eg: SYSTRAN). 2nd generation methods: interlingual and with transfer separate from analysis and synthesis. What structures can generally be used to describe the linguistic meaning.
  • 3. What should be the general strategy for analysis, transfer, and synthesis, what tools can contribute to its implementation. Translation as general knowledge manipulation.
  • 4. Possibilities of partial translation automation.
  • 5. Automated proofreading of texts. Levels in terms of depth of analysis (spelling and mechanical, grammar, style). Generally possible goals, types of errors, possible solutions, and major limitations.
Literature
    required literature
  • Laboratoř zpracování přirozeného jazyka. Stručný terminologický slovník počítačové lingvistiky [online]. [cit. 2014-04-29]. Dostupné z: http://nlp.fi.muni.cz/cs/terminologie
    recommended literature
  • UHRÍN, Tibor. Přirozený jazyk a umělý jazyk. Inflow: information journal [online]. 2008, roč. 1, č. 11 [cit. 2013-04-28]. Dostupný z: http://www.inflow.cz/prirozeny-jazyk-umely-jazyk. ISSN 1802-9736
  • Strossa. Počítačové zpracování přirozeného jazyka. Praha, 2011. ISBN 978-80-245-1777-3. info
Teaching methods
Interactive lectures;
Lectures with discussion
Assessment methods
Credit: Active participation in exercises min. 75%, written test. Exam: written.
Language of instruction
Czech
Further Comments
The course can also be completed outside the examination period.
The course is also listed under the following terms Summer 2021, Summer 2022, Summer 2023, Summer 2024, Summer 2025.
  • Enrolment Statistics (Summer 2020, recent)
  • Permalink: https://is.slu.cz/course/fpf/summer2020/UIINP31