跳至主要內容
跨語言韻律比較模型

Two problems have remained unresolved in speech prosody research. The first one is that there are numerous rival theories that have coexisted for decades -- supporters for one do not necessarily understand the others well. The second one is that in the absence of a universally accepted framework, field linguists working with a new language could propose prosodic analyses not otherwise satisfactory to fellow researchers, in part also due to field-related practical challenges compared with lab settings. Computational modelling can be a useful tool for addressing these problems. This project seeks to promote computational modeling of fundamental frequency as a tool for (i) theory comparison and (ii) hypothesis testing and analysis *for field linguists*. Here we specifically target linguists without background in computer science or statistics.


年份: 2021 - 2023

項目負責人 -

李烱樂博士

研究員: PI

英語學術寫作的診斷性評估:通過結構方程建模研究自我調節控制和篇章整合策略的中介效應

Writing from sources is an important academic literacy skill essential for university students to succeed in academia. Nonetheless, because it involves a set of complex cognitive, metacognitive, and self-regulatory processes and strategies, it is extremely challenging. Existing research primarily focused on the cognitive processes of sourcebased writing, adopting qualitative and case-study based methods. While the research generated a nuanced understanding of the intricate mental struggles and issues during the reading-to-write process, it did not investigate the contextual and behavioural aspects of the process, such as the regulation of time, environment and motivation. There is also a paucity of research adopting quantitative means to connect important antecedent, process and outcome variables to generate a comprehensive picture with sufficient clarify to guide practice and further research. The proposed study will attempt to address the above gaps in the literature.


年份: 2021 - 2023

項目負責人 -

謝琴博士

研究員: PI

在華人語境下多語言學習者的第三語言語音發展

香港作為一個多語言盛行的社會,其居民的第一語言為廣東話,第二以及第三語言為普通話或者英文。現有文獻表明,多語言習得是非線性且交互作用的(Jessner, 2008)。三語學習者在認知靈活度,語音發音,感知和語言學習意識方面比二語學習者有更強的能力。這些能力能幫助三語學習者更好的學習一門新的語言(Gut, 2009)。考慮到語言教學和習得的複雜性,本項目旨在檢視第一語言,第二語言以及第三語言之間的相互作用,並且為香港的語言教師和語言學習者提供多語言學習的深入見解 。


年份: 2020 - 2022

項目負責人 -

陳雪珠博士

研究員: PI

以移動技術為媒介為大學生提供一種自律及個人化的單詞學習方法

Effective learning of second language (L2) vocabulary hinges on the learners’ ability to self-regulate their learning. However, little research interest has been shown in how students self-regulate when they are left on their own to explore L2 vocabulary learning mediated by mobile technologies. In this research, a self-regulated and personalised (SRP) vocabulary learning approach is developed and its effectiveness measured. This research aims to help students develop a heightened capacity for self-regulation to learn L2 vocabulary with mobile technologies more efficiently and effectively. This research adopts a mixedmethod design. An experimental design is 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 one semester. In addition, a multicase 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.


年份: 2019 - 2021

項目負責人 -

馬清博士

研究員: PI

以音韻規則和聲學感知的教學對中國ESL學習者英語單詞重音韻律習得的影響

English is stress-timed while Chinese is syllable-timed, which makes English word stress placement difficult for Chinese learners of English. This project aims to develop assessment tasks to identify Chinese learners’ difficulties in English word stress placement in perception and production, design training programmes to examine whether word stress can be acquired systematically, and conduct a teaching experiment to evaluate the effectiveness of the training programmes in facilitating the learning of word stress. This project will generate substantial impact in both theory and practice.


年份: 2019 - 2021

項目負責人 -

陳雪珠博士

研究員: PI

L2音長差別:以粵語、官話、英語和日語為母語人士的產出與感知

This project examines an underexplored yet fundamental question in second language (L2) research: when acquiring new speech sounds, do L2 learners draw on knowledge of their first language (L1) phonology sound-by-sound or along some continuous dimension such as length?

Taking phonemic length (i.e. short vs. long sounds) as the test case, we will compare native listeners with different L1 backgrounds producing and perceiving length contrasts in non-native language(s). Their relative performance will answer numerous questions about how L1 transfer occurs.

The findings of the study are expected to have both theoretical and pedagogical implications. At the theoretical level, our findings can lead to a definitive conclusion at the ‘feature vs. category’ dialogue in L2 phonological acquisition. In turn, this will benefit learners of languages where length distinctions matter, such as Japanese. In the long run, our findings can also help teachers devise more effective pedagogical strategies.


年份: 2020 - 2021

項目負責人 -

李烱樂博士

研究員: PI

設有少數族裔語言提示的粵拼中文輸入法

年份: 2021 - 2023

項目負責人 -

劉擇明博士

研究員: PI

咔嚓拍字學中文 - 開放式網上自學平台

年份: 2019 - 2021

項目負責人 -

Dr CHIN Chi On Andy

研究員: PI

A study of Western missionaries' production of religious and pedagogical books in the Cantonese language in late-Qing period

年份: 2021 - 2022

項目負責人 -

Dr KATAOKA Shin

研究員: PI

香港本土語言(客家話及圍頭話)有聲故事書數位化及出版計劃

年份: 2021 - 2022

項目負責人 -

劉擇明博士

研究員: PI

Toward a Research Cluster in Clinical Linguistics

年份: 2020 - 2022

項目負責人 -

Prof CHEUNG Hin Tat

研究員: PI (Prof CHEUNG Hin Tat)

研究員: Co-I (Dr CHIN Chi On Andy, Dr LEE Kwing Lok Albert)

Enhancing students’ professional development and knowledge exchange in translation via Mahara

年份: 2020 - 2021

項目負責人 -

Dr LIU Fung Ming Christy

研究員: PI

Revamp of the corpus-based online pronunciation learning system and acoustic analysis of spoken learner corpus for Cantonese learners of Mandarin

年份: 2020 - 2021

項目負責人 -

Dr CHEN Hsueh Chu Rebecca

研究員: PI

Enhancing Learners’ Self-regulated Skills Mediated by Mobile Technologies for Language Learning

年份: 2019 - 2021

項目負責人 -

Dr MA Qing

研究員: PI