Infopaket

Professional Internship of computer linguistics

ДВС.1.01

Вибіркова дисципліна для ОП

First

2022/2023

8 Semester

8

PLO: 1, 2. 4, 5, 6, 7, 10, 11, 16, 17. PLO 18. To have the skills to manage complex actions or projects when solving complex problems in professional activities in the field of computational linguistics and bear responsibility for decision-making in unpredictable conditions. PLO 24. To know and apply in practice the fundamental concepts, paradigms, and basic principles of the functioning of linguistic, instrumental, and computing tools of software engineering. PLO 25. To conduct a pre-project survey of the subject linguistic field, and system analysis of the linguistic object of software design.

Full-time form

Knowledge of the theoretical foundations of general linguistics, linguistic statistics, mathematical and computer linguistics, information and speech technologies, and English language; Knowledge of statistical analysis methods; skills in mathematical and computer modeling of linguistic phenomena; mathematical foundations of computer technology, principles of information collection, accumulation, processing, and search; translation methods. Ability to design a conceptual data model of the linguistic field; create software systems using databases and knowledge; fluently read, speak, and write in English. Training facilities: the International Scientific and Educational Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and the Ministry of Education and Science of Ukraine.

During industrial practice, students develop the skills of practical application of professional knowledge and competencies acquired during four years of study to successfully solve the following tasks: creation of specialized computer software for information linguistic systems of automatic text analysis; creation of information and linguistic technologies for automatic analysis of texts based on two languages - Ukrainian and English; application of online software resources for automatic analysis of texts based on two languages - Ukrainian and English; conducting a linguistic examination of the text and oral speech (on the basis of two languages - Ukrainian and English) using the methods of structural linguistics, linguistic statistics, and computer modeling.

10. Bellegarda, J. R. (2013). Natural language technology in mobile devices: Two grounding frameworks. In Mobile Speech and Advanced Natural Language Solutions, pp. 185–196. Springer. 11. Computer Science Curriculum 2013: Strawman Draft. The Joint Task Force on Computing 12. Curricula, Association for Computing Machinery, IEEE-Computer Society [El. resource]. — URL: http://ai.stanford.edu/users/sahami/CS2013/strawman-draft/cs2013-strawman.pdf. 13. Daniel Jurafsky, James H. Martin. Speech and Language Processing. An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Third Edition draft. – 2018.– Available at https://web.stanford.edu/~jurafsky/slp3/ed3book.pdf 14. European e-Competence Framework, e-CF [El. resource]. — URL: www.ecompetences.eu.

Types of work: Acquaintance with the content and requirements for production practice, with the conditions of design/development/use of information linguistic systems and technologies of NLP at the production base of practice. Compilation and coordination with managers of an individual practice plan: development of a project plan for the fulfillment of assigned tasks (future applied research/performance of functional duties) with the justification of optimal approaches and methods for achieving the set goal. Implementation of the tasks on the basis of practice. Collection of information and systematization of material, development of component information systems of NLP, testing and expert evaluation of developed component information systems of NLP, work within the framework of AOPM working systems based on practice Presentation of the completed work at the training base.

The results of students' industrial practice are evaluated on a 100-point scale. The final score (100 points) is formed by the sum of the points obtained from the assessment of the practice manager before the practice defense (60 points) and from the final control (40 points). A student who did not complete the Professional Internship program in full and got an unsatisfactory score repeats the practice.

Ukrainіаn, English