Chinese Intelligent Language Learning (CHILL)

Using Grammar Engineering Models for Automated Error Detection


Introduction

This Marie Skłodowska-Curie Action is hosted by Palacký University Olomouc and aims to advance the research in high-precision error detection for Mandarin Chinese. The action has two main goals:

This action is strongly data-driven, and employs an interdisciplinary methodology, integrating standard methodologies in formal linguistic analysis with those employed in software development, in Computer Science. It is broadly inserted in the context of DELPH-IN — an international consortium that shares a commitment to develop open-source resources for deep linguistic processing using Head Driven Phrase Structure Grammar and Minimal Recursion Semantics.

You can also find more information about this project through CORDIS (EU Reserach Results).


Team

Luis
Luis Morgado da Costa:
Luis is the ‘excellent fellow’ of this action. He is an interdisciplinary researcher with a strong background in computational linguistics. He recently completed his PhD in Using Rich Models of Language in Grammatical Error Detection, from the Interdisciplinary Graduate Program at Nanyang Technological University, Singapore. Luis brings ample expertise in computational linguistics, grammar engineering and in the development of grammatical error detection applications targeting educational contexts.
lmo rgad o.dac ostagmail.com / lui s.mor gadod acostaupol.cz



Joanna's picture
Joanna Ut-Seong Sio:
Joanna is the supervisor of this action. She is a linguist and comedian, originally from Hong Kong. She received her PhD from Leiden University, in the Netherlands, where she worked on modification and reference in the Chinese nominal. Her research interests include Chinese languages, especially in the area of syntax and semantics, as well as the use of verbal arts in the training of communication skills. She brings her unparalleled knowledge concerning syntax of the Chinese NP to this project.
joa nnau tseo ng.sioupol.cz


Hana's picture
Owsiankova Hana:
Hana is the project officer of this action. She is a project manager of national and Horizon Europe projects and mobility coordinator at the Faculty of Arts, Palacký University in Olomouc. Her main interests are science diplomacy and science business. Hana provides invaluable administrative support to the execution of this action.
han a.ows ian kovaupol.cz



Latest Events and Milestones



(2022.05.13) Workshop at the Department of Asian Studies (UPOL):
I was happy to run a workshop entitled "Learner Treebanks: Building Richer Error Detection Models through Learner Corpora", where I covered some topics concerning the future direction of computer assisted language education. This workshop was hosted for colleagues from the Faculty of Arts. I discussed some previous work on the development and exploitation of learner corpora in automatic error-detection and the production of automatic corrective feedback. I've also discussed how my MSCA project aligned within these larger goals. I was happy to have participants from different departments, and also from UPOL's
Language Learning Center and UPLift. I was particularly happy to have met Dr. Silvie Válková, from UPOL's Language Learning Center, with whom I discussed potential lines of collaboration in the near future.

(2022.03.17) MSCA seminar for future supervisors of MSCA Fellows (UPOL/MUNI): :
I took part in an online seminar looking to promote Postdoctoral Fellowships within the context of Marie Skłodowska-Curie Actions. The workshop's main goal was to coach potential future supervisors of MSCA Postdoctoral Fellows (MSCA PF) on best practices and on what to expect from the process (from ideation to supervision of MSCA PF projects). The workshop was a joint effort between Masaryk University and Palacký University Olomouc. I participated, with Joanna Sio (my supervisor), to provide a successful example on how to approach MSCA PFs by sharing our experience.

(2022.03.02) Leadership skills for Researchers (Czech Chapter of the Marie Curie Alumni Association):
I attended a workshop entitled 'Leadership skills for researchers', organized by the Czech Chapter of the Marie Curie Alumni Association. The workshop was led by Radka Pittnerová, targeting specifically current and alumni MSCA researchers, and discussed essential tools and concepts related to leadership and HR management, preparing researchers who wished to pursue their academic career by setting up their own research lab.


(2022.01.19-20) Invited talk at the International Forum on Education of the English Language and Literature in the New Normal Era (INU):

I had the privilege of being invited to attend and give an invited talk at the International Forum on Education of the English Language and Literature in the New Normal Era. This international forum was organized by the Department of English Language and Literature, Incheon National University (INU). The forum's central topic was on the recognition of the need to define new goals and use new methodologies for teaching language at university level, with particular interest in English. My talk was entitled "Learner Treebanks. Building Richer Error Detection Models through Learner Corpora". This talk summarized some of my previous research, and motivated the current direction of my MSCA project -- presenting computational grammars as invaluable resources for computer assisted language education.

Technical Details: Grammatical Error Detection

This project uses constraint-based linguistic language models (i.e., computational grammars) to explicitely model common grammatical errors made by learners of Mandarin Chinese. It implements a theoretical concept known as mal-rules to identify and reconstruct ungrammatical sentences with enough precision to perform grammatical error detection, and to provide clear linguistic explanations of why a given sentence is ungrammatical.




EU flag
EU flag
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No.101028782.