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Chinese Intelligent Language Learning (CHILL) – Using Grammar Engineering Models for Automated Error Detection


This Action will produce a high-precision error detection computational system for Mandarin Chinese, which diagnoses the linguistic source of grammatical errors, and uses this information to provide corrective feedback to learners. The Action takes advantage of the Applicant’s expertise in computational linguistics & their educational applications and relies on supervisor’s expertise in Chinese syntax. The Action includes an in-depth syntactical analysis and computational implementation of both the structure of Mandarin Noun Phrases and related common errors. The focus will lie on quantification, reference/deixis, cognitive status and modification. The Action will make use of well-grounded data-driven interdisciplinary methodologies, integrating standard methodologies for formal linguistic analysis and methodologies for software development from the field of Computer Science. The supervisor and the Applicant have published together and collaborated successfully in other projects. The beneficiary, the Department of Asian Studies at Palacký University, has an excellent reputation in the field of Asian languages with a strong emphasis on new methods in language teaching. These conditions offer an optimal opportunity to develop and test the results of the proposed Action.
Through the interaction with the supervisor and training-through-research, the Applicant will acquire expertise in Chinese Syntax. In addition, the beneficiary also offers state-of-the-art physical and technological infrastructure, including a Trainee Center with excellent opportunities to develop transferable skills. The training received through this Action will create valuable opportunities for the future career prospects of the Applicant, and help him fulfil his plan to establish an academic career in Europe.

Call for proposal

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Krizkovskeho 8
771 47 Olomouc
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 144 980,64