Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.

12+

Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.

17+

You must be at least 17 years old to access this App.

Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.

Cantonese Pronunciation App Screenshots

iPad

iPhone

About Cantonese Pronunciation App

CanPro (Cantonese Pronunciation App) is a mobile language app for practising Cantonese pronunciations and learning common Cantonese expressions. In this app, users need to match the Chinese characters in a Cantonese expression with their respective romanized forms after listening to the pronunciations. The expressions of CanPro were selected, on the basis of usage frequency, from a digitized Cantonese language database with around 800,000 characters (https://hkcc.eduhk.hk/). This beta version has 99 expressions. More expressions will be added later.

The app was designed to help Cantonese learners to practise their pronunciation skills and learn common colloquial Cantonese expressions. We hope this can help learners to gain more confidence in using Cantonese in their daily life and also to integrate themselves better into the local community.

The development of CanPro was supported by the internal Knowledge Transfer funding from The Education University of Hong Kong. CanPro won a silver medal in the Geneva’s Inventions Expo in March 2021.

Developer: Dr Andy Chin (EdUHK) and Dr Patrick Chu (external collaborator)

Acknowledgement
This project was supported and funded by an internal Knowledge Transfer Fund from the Education University of Hong Kong.