CHILL · Chinese Intelligent Language Learning (CHILL) – Using Grammar Engineering Models for Automated Error Detection
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2021-11-01 → 2023-10-31
- EU contribution
- €144,981
- Participants
- 1
- Scheme
- MSCA-IF
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Results in brief
Chinese Intelligent Language Learning (CHILL) – Using Grammar Engineering Models for Automated Error Detection
This project addressed the disconnection between recent advances in Computer Assisted Language Learning and the actual needs of learners and teachers. At a time where digitization is increasingly becoming a primary necessity in many areas of society, education – and in particular language education – have faced challenges in the way technology has kept up with the actual needs of learners and educators. This project addressed some of these problems by producing technology specifically targeting the pedagogical dimensions currently lacking in the existing infrastructure for online language learning and teaching. In particular, it worked towards building to build a high-precision error detection computational system for Mandarin Chinese, building on decades of work in linguistic theory, and implementing a computational grammar capable of not only producing high quality parses for Mandarin Chinese, but also exploit this implemented grammar to diagnose, with linguistic precision, the source of grammatical errors. In particular, its overall objectives included: Contributions in the syntactical/theoretical analysis Mandarin Noun Phrases; Computational implementation of Mandarin Chinese grammar, with a particular emphasis in Noun Phrases; Surveying common error classes made by Mandarin Chinese learners; Adaptation of a Mandarin Chinese computational grammar into an error detection system, capable of detecting a variety of common grammatical errors, with particular emphasis in Noun Phrases These objectives were to be met using well-grounded data-driven interdisciplinary methodologies, integrating standard methodologies for formal linguistic analysis and methodologies for software development from the field of Computer Science.
Data: CORDIS, © European Union
Project objective
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.
Original text from CORDIS.
Participants
- UNIVERZITA PALACKEHO V OLOMOUCI · OlomoucCoordinatorCzechia
Links
Data: CORDIS, © European Union