Development of the Interdisciplinary Master Program on Computational Linguistics at Central Asian Universities (CLASS)

Project Overview

Project Title Development of the Interdisciplinary Master Program on Computational Linguistics at Central Asian Universities (CLASS)
Project Number 585845-EPP-1-2017-1-ES-EPPKA2-CBHE-JP
Country Kazakhstan Uzbekistan
Overall Project Value(EUR) 500 001 - 1 000 000
Project Start – Project End October 15, 2017–October 14, 2020
Project Status Active

Funding and Implementing Organizations

Origin of Funding European Union
Project Budget(EUR) 761.450
Implementing Organization / Consortium

• Universidade Do Porto (Portugal) – Project Coordinator
• Alisher Navoiy Nomidagi Toshkent Davlat O'zbek Tili Va Adabiyoti Universiteti (Uzbekistan)
• Al-Xorazmiy Nomli Urganch Davlat Universiteti (Uzbekistan),
• L.N. Gumilyov Eurasian National University (Kazakhstan)
• A.BAITURSYNOV Kostanay State University (Kazakhstan)
• Samarkand State Institute Of Foreign Languages (Uzbekistan)
• Mirzo Ulug'bek Nomidagi O'zbekistonmilliy Universiteti (Uzbekistan)
• Uniwersytet im. Adama mickiewicza w poznaniu (Poland)
• Universidade Da Coruna (Spain)
• Al-Farabi Kazakh National University (Kazakhstan)
• Panepistimio Dytikis Attikis (Greece)

Contact / Team Leader / Project Team
  • Mersaid Aripov, National University of Uzbekistan (Project Coordinator from NUU), mirsaidaripov@mail.ru
Beneficiary National governments

Project Summary, Objectives and Results

Project Summary

The project is developed under the initiatives of Uzbekistan and Kazakhstan. Computational Linguistics as interdisciplinary educational program does not exist in the partner countries, though as a research area it has been developed since beginning of 2000. Computational Linguistics is crucial for development of high information technologies, absolutely necessary for the industrial, social and civilizational progress. These technologies are in progress almost everywhere in the world but at different speed in the concerned countries. Despite of a number of software working with recognition of a number of world languages; the Kazakh and Uzbek languages still drop out. Thus it is practically impossible for the world community to retrieve any information in Uzbek or Kazakh.

Objective

To develop the master program curriculum and to enrich Kazakh and Uzbek universities’ capabilities to enhance access to higher education with blended learning in computational linguistics master program for students with linguistics and computational science background.

Project Objectives
  • To create and implement interdisciplinary master program in CL in 7 CA universities under careful analysis of existing programs.
  • To implement blended learning technology in CA universities within CL master program for better learning opportunities and democratisation of higher education.
  • To create linguistic resources and applications with good support for the Uzbek and Kazakh languages by the end of 2020.
Education Sector HE, VET (IVET & CVET)
Components of the Education Process Education Policy Advice & Development, Quality assurance, Standards and curriculum development, Training of teachers / trainers
Occupational Field Interdisciplinary Sciences
Target Groups Politicians/decision-makers in economics, labour, employment & education policy, Decision-makers and managers in VET and HE institutions, Developers of standards, programs, curricula etc., Lecturers, teachers, instructors, trainers, Standardisation, Certification, Accreditation Bodies
Related Projects

N/A

Activities
  1. Analysis of the EU computational linguistics programs describing competences refined by studying computational linguistics.
  2. Constructing description of the competencies of computational linguistic graduate.
  3. Training for academic staff in English in each CA partner university in order to develop the NLP tools for Uzbek and Kazakh languages.
  4. Equipment purchase in partner universities to enable using innovative ICT tools (both commercial and open source type) in the field of computational linguistics.
  5. Designing 180 hours train courses and materials on development methodologies of NLP tools and using blended learning for upgrading professional teaching skills of about 70 CA academic staff from Kazakh and Uzbek universities.
  6. Developing Computational Linguistics Master program via transformation of EU best practices with Bologna process principles.
  7. Estimating the progress in competence building and evaluation of the quality of created materials by internal and external experts.
  8. Utilizing 7 online courses and to develop 4 NLP tools in each partner universities’ educational process.
  9. Joint academic and research work.
  10. Implementing the developed master program using blended learning in partner country universities.
  11. Implementating online courses, e-books, methodological books and dissemination events and conferences to increase professionals’ awareness of the contents and opportunities of computational linguistics.
Project Results
  • Blended learning pedagogical skills for enhancing computational and linguistic competencies of master students defined.
  • Capacity to network effective inter-universities collaboration in the joint researches in linguistics and computer technology built.
  • Academic staff from linguist and IT field trained.
  • Students’ access to learning materials, teacher interaction with digital tools provided.
  • New NLP tools for Uzbek and Kazakh languages obtained.

Links and Materials

Materials
    Link to project relevant data