GovernmentCase Study

MandarinMaster: AI-Powered Pronunciation Validation Cuts Chinese Learning Dropout Rate

MandarinMaster: AI-Powered Pronunciation Validation Cuts Chinese Learning Dropout Rate

·7 min read
MandarinMasterEducation Technology (Language Learning)Startup · Online learning platform

Key People & Companies

MandarinMaster

IBM Watson Speech to Text

IBM · Speech to Text API

Philippe Laurent

Philippe Laurent

MandarinMaster

IBM

IBM

AI technology provider

Pedab France

Christopher Pajot

Sales Manager at Pedab France

watsonx

IBM · Platform

Key Results

  • Users speak for approximately 80% of each lesson, a dramatic contrast to the vast majority of book-based platforms and training courses, enabling practical fluency development.
  • After three years of daily 30-minute study, absolute beginners master 2,500 characters and more than 25,000 words—approaching the 3,000-character vocabulary of a highly educated native Chinese speaker.
  • The platform successfully guides learners from beginner to C1 level fluency in three years, with an express package option reducing the timeline to 18 months for accelerated learners.
  • + 3 more results inside

We propose a slow and regular rhythm of learning that is culturally very Chinese in nature. MandarinMaster starts literally with one step, and it's like you're stepping on board a train. If you stay on that train for three years, completing 30 minutes of study a day, you'll speak Chinese fluently by the end of the journey.

Philippe Laurent, Founder at MandarinMaster

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