UIINK31 Natural Language Processing II

Faculty of Philosophy and Science in Opava
Summer 2022
Extent and Intensity
8/0/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Daniel Valenta, Ph.D. (lecturer)
Guaranteed by
Mgr. Daniel Valenta, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
The main topic of this course is the automation of the process of translation and correction of the text (in succession of the course Natural Language Processing I). In this course, students will get familiar with most serious problems of the computer understanding of the content of the text in natural language and the principles of solving these problems.
Learning outcomes
Students will be able to:
- describe the issue of machine translation and text correction
- identify and describe the problems of the computer understanding of the content of the text in natural language
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, tutorials
Assessment methods
Credit: Pass the written test.
Exam: written
Language of instruction
Czech
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
Information on the extent and intensity of the course: Přednáška 8 HOD/SEM.
The course is also listed under the following terms Summer 2020, Summer 2021, Summer 2023, Summer 2024, Summer 2025.
  • Enrolment Statistics (Summer 2022, recent)
  • Permalink: https://is.slu.cz/course/fpf/summer2022/UIINK31