# Jyutping Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/jyutping
> Markdown URL: https://aitinkerers.org/technologies/jyutping.md
> Technology record last updated: 2026-03-24T15:15:10Z
> Generated: 2026-10-23T20:03:42Z

Jyutping is the systematic Cantonese romanization scheme: developed by the Linguistic Society of Hong Kong (LSHK) in 1993, it standardizes pronunciation and functions as a primary computer input method.

Jyutping (粵拼) is the official Cantonese Romanization Scheme from the Linguistic Society of Hong Kong (LSHK): they designed and proposed it in 1993. The system uses standard alphanumeric characters (A-Z, 1-6) to represent Cantonese sounds, avoiding diacritics for maximum compatibility (e.g., computer input). It clearly maps the six distinct Cantonese tones using trailing digits: the name *Jyutping* itself is romanized as *jyut6 ping3*. The technology's core function is twofold: to provide a consistent, systematic phonetic guide for learners and to serve as an efficient, user-friendly input method for typing Chinese characters.

- Official technology site: https://lshk.org/jyutping/
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [The first cantonese lyrics ai in HK https://cantolyricsai.com/](https://hong-kong.aitinkerers.org/talks/rsvp_HILPJuLq-Q8)

- Event context: AI Tinkerers Hong Kong GBA at the Hive: Creative AI Demos & Technical Show-and-Tell — 2026-03-26 — Hong Kong
- Public talk page: https://hong-kong.aitinkerers.org/talks/rsvp_HILPJuLq-Q8

## Related Technologies

- [0243 principle](https://aitinkerers.org/technologies/0243-principle) ([Markdown](https://aitinkerers.org/technologies/0243-principle.md)) — 1 public demo
- [Audio-to-MIDI transcription](https://aitinkerers.org/technologies/audio-to-midi-transcription) ([Markdown](https://aitinkerers.org/technologies/audio-to-midi-transcription.md)) — 1 public demo
- [LLM](https://aitinkerers.org/technologies/llm) ([Markdown](https://aitinkerers.org/technologies/llm.md)) — 123 public demos
- [Machine Learning](https://aitinkerers.org/technologies/machine-learning) ([Markdown](https://aitinkerers.org/technologies/machine-learning.md)) — 20 public demos