Curriculum Vitae
Download my academic CV (PDF) · Word version (DOCX)
ORCID: 0009-0003-0226-0412
Education
National University of Singapore — Singapore
MA by Research in Linguistics (2025 – Present)
Thesis: The Sketch Grammar of Malaysian Lui Chiew (Leizhou Min)
Supervisor: Nala Lee
Chengyi College, Jimei University — Xiamen, Fujian, China
Bachelor of Engineering in Network Engineering (2017 – 2021)
Research Interests
- Digital humanities approaches to language documentation and revitalization
- Exploring and adapting language technologies for low-resource languages
- Typological variation and language contact in Southern Sinitic and Southeast Asian languages
Research Experience
Malaysian Lui Chiew (Leizhou Min)
MA Research and Fieldwork; National University of Singapore (2025 – Present)
- Conducted fieldwork in Tiang Dua, Melaka, and Muar, Johor, in July 2026 with 11 consultants, collecting wordlists, elicited sentences, narratives and conversation.
- Prepared a preliminary description of phonology, word classes and syntax, recording variation among the consultants.
- Used ELAN for time-aligned annotation and Praat for acoustic analysis of tones and rhyme duration.
- Compared recorded patterns with Leizhou Min, Hainan Min and Malaysian Hokkien descriptions to assess regional variation and possible contact explanations.
TypeDuck — Cantonese IME with Multilingual Dictionary
Developer / Research Assistant; PI: Dr. Chaak Ming Lau, EduHK (Sept 2022 – Dec 2024)
- Developed a Cantonese IME and multilingual dictionary to support Cantonese learners from diverse ethnic backgrounds.
- Built and deployed the IME algorithm server and implemented the dictionary interface.
- Filtered obsolete or rare terms from the IME dictionary.
Chinese Newspaper Corpus System
Developer; PI: Prof. Sze Wing Tang, CUHK (Oct 2020)
- Developed a scraping and data-extraction system for online Chinese newspapers across Asian countries.
Academic & Open-Source Contributions
Cantonese Computational Linguistics Infrastructure Development Workgroup (CanCLID)
Core Contributor (2020 – Present)
- Collected and curated Guangzhou Cantonese text, and trained a language model on Guangzhou and Hong Kong corpora to build a Cantonese/Mandarin classifier.
- Led the localization of Mozilla Common Voice into Cantonese, including UI translation, corpus collection/refinement, and audio recording verification.
- Worked on the Cantonese IME algorithm and word prediction.
Lingnaam Jyutjam (嶺南粵音) Core Contributor (2017 – Present) — jyutjam.org
- Developed Jyutdict.org, a Pan-Cantonese Dictionary web application recording Yue pronunciations across Guangdong and Guangxi.
- Participated in discussions of Yue classification and Early-Qing Cantonese phonology.
- Collected and analysed colloquial Cantonese vocabulary and used Python to parse and filter transcripts for dictionary work.
- Implemented tone-sandhi transcription for Jyutping++, an extended romanization scheme for Yue varieties used in dictionaries and input methods, including Bakhoi and Hamzau resources.
Publications & Presentations
Liang, Zinan and Huang, Junxin. (2024). "Man1 in Ngzhau Cantonese: A Study of Language Contact between Yuehai and Goulou Yue." Buckeye East Asian Linguistics. 9, 163-179. Presented at the 27th International Conference on Yue Dialect, September 2024.
June 13, 2026
Conference Presentation at 32nd Annual Conference of the International Association of Chinese Linguistics (IACL-32),
June 2025
Conference Presentation at The Eighth Forum on Cantonese Linguistics (FoCaL-8), The University of Hong Kong
September 2024
Conference Presentation at 27th International Conference on Yue Dialect, The Ohio State University
June 26, 2021
Workshop Presentation at 21st Workshop on Cantonese (WOC-21), Hong Kong
Computational Methods & Data Skills
- Data & NLP workflows: Corpus collection, web scraping, data cleaning, parsing, metadata organization, and language-model-based classification for Cantonese/Mandarin data.
- Programming & tools: C++, Python, pandas, regular expressions, PHP/MySQL, and Git/GitHub.
- Linguistics tools: ELAN for time-aligned annotation, Praat for acoustic analysis, and lexical data preparation for dictionaries and input methods.
- ASR workflow: Used speech recognition to locate passages, then checked and transcribed cited forms by listening to the original recordings.
Languages
- Native: Cantonese, Dianbai Min
- Fluent: Mandarin
- Conversational: Taiwan Hokkien
- Professional: English
- Basic: Malay, Indonesian, Japanese
Service and Community Work
- Lingnaam Jyutjam, core contributor to Yue classification, Early-Qing Cantonese phonology, romanization, and Pan-Cantonese Dictionary work.
- CanCLID, core contributor to corpus, classifier, Common Voice localization, IME, and open-source language technology work.
