Introducing Corlearn Project
Background
Corpus linguistics (CL) is a crucial field in modern linguistics as it provides empirical data and methodologies for analysing language use in real-world contexts. By studying large collections of texts, known as corpora, researchers can uncover patterns and structures in language that are often not evident through introspection alone. This data-driven approach allows linguists to make more objective and statistically significant observations about language phenomena, such as frequency of word usage, collocations, and grammatical structures. Moreover, CL supports a variety of applications, including language teaching, lexicography, and natural language processing, making it an essential tool for both theoretical research and practical language-related tasks. Understanding CL equips learners with the skills to engage with authentic language data critically and to contribute to advancements in both academic and applied linguistic fields. While CL offers numerous benefits, learners may encounter several challenges when delving into this field. One of the primary difficulties is the need for technical proficiency, as working with corpora often requires familiarity with specialised software and programming languages. Moreover, navigating and managing large datasets can be daunting, demanding strong organisational skills and attention to detail. Another significant challenge is the lack of motivation among some students, who may find CL less engaging compared to more traditional, theory-based linguistic studies. This can be attributed to the abstract nature of data analysis and the technical aspects involved, which may not immediately appeal to those with a more humanistic or qualitative interest in language.
Despite these challenges, with persistence and the right resources, students can overcome these obstacles and unlock the valuable insights that CL has to offer. CorLearn is a mobile app designed to enhance the teaching and learning of CL by digitising core knowledge, gamifying exercises, and providing AI assistance, as well as a convenient platform for compiling specialised corpora.
Objectives
(a) To enhance studentsā motivation and learning of CL through digitalization and gamification
(b) To provide a corpus compilation tool to facilitate learning and teaching
(c) To facilitate the implementation of CBLP for English teaching and learning through introducing the mobile app
(d) To develop a pedagogical framework incorporating CL and AI technology for CL-related linguistic courses in both face-to-face and virtual teaching contexts
Expected Outcomes
- Students: The project enhances (self-)learning of courses related to CL. The mobile app allows students to access CL resources and exercises anytime and anywhere, making learning more flexible and convenient. By incorporating gamification elements and interactive features, the app can increase studentsā motivation and engagement in learning CL. Moreover, the app will make the process of corpus compilation easier and more convenient, as it allows students to collect textual data using their smartphones or tablets, enabling them to copy and paste texts from other apps or photos.
- Instructors: The project improves teaching efficiency by providing teachers with a structured curriculum, ready-made exercises, and progress tracking features. This can save time in lesson preparation and facilitate personalized instruction. Teachers can also seamlessly integrate the mobile app with virtual classes and AI technology.
- A pedagogical framework: With the mobile app, a well-defined and effective pedagogical framework related to the application of AI technology in virtual teaching will be proposed after experimental teaching that implements the proposed framework. The generated framework will be presented, explained, and promoted through journal article publications and a specialized webpage for this project.
Project Team
- Principal Investigator: Dr. YIP Wai Chi Jesse
- Co-Investigators: Prof. WANG Lixun and Dr. LAU Chaak Ming
- Project Team Members: Mr. LEE Man Hei and Mr. HUANG Junxin Trenton