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Resources

Global Chinese learning platform
https://www.chinese-learning.cn/#/web/adult/mandarinLearn?isMhk=false
* Understand the pronunciation of pinyin through a combination of text and images. 
* Record and compare your voice with standard audio to correct and improve their pronunciation skills.

TTSMaker
https://ttsmaker.com 
* Convert any Chinese text to clear, natural‑sounding Mandarin audio.
* Support adjustable speaking speed, volume, and tone for targeted shadowing.
* Generate reusable listening clips for self‑study.

Doubao(mobile app for real time speaking)
https://www.doubao.com 
**Practise real time voice conversations with an AI partner.
*Role play daily dialogues to improve listening and speaking skills
*Note: real time voice chat is available in the mobile app only


AI Tools for Cantonese Language Learning on Online Platforms (Download for details)

1. Cantonese.ai
https://cantonese.ai/
This platform offers a suite of Cantonese learning functions: AI-enabled pronunciation practice with automated feedback and scoring, Jyutping text conversion, Cantonese text-to-speech, Cantonese speech-to-text transcription, a natural Cantonese AI chatbot for reading, writing and conversational practice, and lip-synced talking and video avatars to enhance engagement in listening and speaking exercises.

2. Google Translate
https://translate.google.com/
This platform supports translation from English, Chinese, and other languages into Cantonese. Learners can type or speak simple words and sentences, view Jyutping beneath Cantonese translations, and use the speaker icon to hear AI-assisted Cantonese pronunciation, helping them practise reading, listening, and basic pronunciation more effectively.

3. CantonLink
https://cantonlink.org/
This platform helps learners speak Cantonese through AI-powered conversations, structured lessons, assessments, and practical everyday topics. Learners can practise vocabulary and grammar in context, follow a beginner-friendly path, and choose Yale, Jyutping, or Chinese characters. It also supports learners without character knowledge and offers helpful blog resources.

4. Doubao
https://www.doubao.com/
This platform supports Cantonese learning through translation, vocabulary lists, sentence explanations, and conversation practice. Learners can request Jyutping for pronunciation, compare Cantonese grammar with Mandarin or English, and create role-play dialogues, scripts, and listening exercises to prepare for real-life communication in topics such as food, travel, and daily life.

 

 


Zizzle 
https://www.zizzle.io/
*Remember characters via illustrated stories linking meaning, sound, and tone.
*Practice correct stroke order with animations and guided handwriting.
*Expand vocabulary through story-based learning.

Grammar
Mandarin Bean 
https://mandarinbean.com 
*Read level appropriate Chinese cultural stories to build reading skills.
*Self check grammar with exercises on commonly used patterns. 
*Optional HSK sample tests for exam practice.

Vision Chinese Academy Official Website
https://visionchinese.com/
An overview of Vision Chinese Academy’s curricula, campus information, in-house Chinese learning tools, and latest educational resources.

Vision Chinese HSK Online Mock Exams
https://hsk.visionchinese.com/
*Offers HSK Levels 1–9 and YCT online mock questions and daily practice so learners can become familiar with test formats and assess their preparation.

Vision Chinese HSK Character Learning
https://visionchinese.com/hanzi/ 
*Provides character forms, pronunciation, meanings, and related exercises organised by HSK level to support systematic Chinese character learning.

Recommended AI Tools for Chinese Research

Research - AI Tools Purpose Stage Notes
General-purpose LLMs
(Deepseek, Doubao, ChatGPT, etc.)
Brainstorming, mind mapping, exploring research angles, refining topics Brainstorming, topic finalisation Accessible via PolyU GenAI. Link
CNKI AI Smart mining of core journal literature, review generation, research gap identification Chinese literature review Available via PolyU Library with a free quota; functionality is restricted in the overseas version Link
Consensus AI search engine grounded in peer reviewed academic papers; rapidly verifies research hypotheses and identifies international consensus International validation Accessible via PolyU Library Link
Elicit Natural language paper search, automated key summarization, and one click literature comparison table generation Advanced literature screening Offers a free plan, but usage quotas and features are limited.
Connected Papers / Litmaps Visualizes citation networks to identify core literature and emerging research trends Literature context analysis Offers a free plan, but usage quotas and features are limited.
SciSpace / Perplexity Batch PDF uploads for targeted Q&A and key summary generation Deep reading Offers a free plan, but usage quotas and features are limited. SciSpace's “Chat with PDF” feature is free to use.

Upon completing the reading and practice of this guide, you will be able to:
1. Use and develop structured prompts to refine and formulate vague, broad ideas into specific, feasible research questions.
2. Summarise, analyse, and appraise the scholarly landscape using AI academic tools, and judge and defend whether a claimed research gap is genuine.
3. Recognise, distinguish, and evaluate AI hallucinations by applying and refining cross‑verification techniques to ensure that cited references and corpora are authentic and reliable.
4. Value, defend, and apply principles of academic integrity and data security by planning and articulating appropriate disclosure of GenAI use in research writing.

Quick Start (Download PDF file)

Questioning Skills (Download PDF file)

Common Questions and Critical Reflections (Download PDF file)


A Guide for Evaluating the Reliability of Literature and Information Sources: Academic Integrity and Information Literacy in the Era of Generative AI (Download PDF file)

Upon completing the reading and practice of this guide, you will be able to:

1. Evaluate and select high‑credibility academic literature by contrasting, distinguishing, and appraising sources across key dimensions, including currency, objectivity, authority, and authorial intent.
2. Analyse and criticise GenAI‑generated and questionable information by identifying, distinguishing, and categorising issues such as bias, lack of transparency, outdated information, and fabricated citations.
3. Apply and develop cross‑verification strategies by comparing, connecting, and validating AI‑generated content against authoritative academic literature to defend and justify evidence‑based conclusions.


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