This project takes on a real-time and corpus-based approach to study the development of Cantonese in the past six decades. An annotated corpus of mid-20th century Hong Kong Cantonese is constructed with spoken data drawn from the dialogs of 50 Cantonese movies (generally known as 粵語長片) produced in Hong Kong between the 1950s and the 1970s.
Digital Humanities research involves processing of huge amount of textual materials that reflect local culture. With technological enriched digital archives, socio-cultural spaces where researchers from different disciplinary background encounter, share knowledge, beliefs, and values, have been opened up. This project, capitalizing on the research strengths in corpus linguistics and humanities at LML, undertakes two initiatives to build the foundation for developing Digital Humanities as a new research area at EdUHK: (1) Construction of a Chinese corpus for preserving and processing cultural heritage texts in Hong Kong; (2) Development of computational technology and resources for Digital Humanities research.
This research aims to help students develop a heightened capacity for self-regulation while using mobile technologies and appropriate pedagogical knowledge to learn L2 vocabulary more efficiently and effectively in the long term. An experimental design will be adopted to find out to what extent students can learn L2 vocabulary using the SRP approach in a mobile technology-mediated environment via a self-directed intervention for a period of one semester. It will also examine whether the self-directed SRP approach can help students learn L2 vocabulary receptively and productively better than those who adopt their usual learning approach. Personalised vocabulary tests at both receptive and productive levels will be developed for each participant to measure their learning outcome. In addition, a multi-case study will be conducted to provide qualitative evidence to verify whether the self-directed SRP approach can lead to a heightened capacity for self-regulation. The qualitative evidence collected can also be used to triangulate and validate the quantitative findings.