Building an app to achieve native-level Chinese reading skills: Interview with Emmanuel Roche
Apr 17, 2024
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Computer scientist Emmanuel Roche shares his 35-year journey learning Chinese, developing Full Chinese app for native-level proficiency. Discusses challenges in Chinese learning, importance of complete sentence understanding, benefits of sentence mining, and bridging academic-community gap for efficient language acquisition.
Traditional Chinese learning methods in the late 80s were inefficient and lacked effective tools for comprehension and retention.
The Full Chinese app revolutionizes Chinese language acquisition by emphasizing efficiency, self-study, and personalized learning experiences.
Deep dives
Challenges of Learning Chinese in the Late 80s
Learning Chinese in the late 80s involved inefficient teaching methods, reliance on paper dictionaries, and limited resources like audio tapes for pronunciation. Pinion, the system used, was not ideal for foreign learners, posing difficulties in tone comprehension. Despite initial frustrations and high dropout rates among learners, there was a lack of effective tools for sentence understanding and vocabulary retention.
Innovative Approaches to Language Learning
The concept of sentence mining, focusing on learning short sentences rather than individual words, was developed to aid language acquisition efficiently. By internalizing whole phrases and frozen expressions, learners can grasp language structures effectively. The innovation aimed to enhance fluency and comprehension by emphasizing simple sentences as fundamental language units.
Efficiency and Progress in Chinese Learning
The Full Chinese app was created to revolutionize Chinese language acquisition, emphasizing efficiency and deeper comprehension. By providing tools for learners to prepare before classes, empowering self-study, and optimizing the learning process, the app aims to make learning more gratifying and effective. Integration of technology allows for personalized learning experiences and continuous progress in language proficiency.
My guest on today’s podcast is computer scientist and educational technologist, Emmanuel Roche.
Emmanuel has more than 35 years of experience learning Chinese. He began his Mandarin odyssey in the late 80s, studying the language at university. But he quickly became frustrated at how inefficient teaching and learning methods were at the time.
Most of his classmates gave up, but Emmanuel didn’t. Instead, he developed a lifelong passion for Chinese, using his background in computer science to create technological solutions to make Mandarin acquisition a more efficient process.
In recent years he’s created an app called Full Chinese, which helps learners reach native-level proficiency in Chinese reading. It’s used by learners around the world and has even been integrated into Chinese Studies classrooms at the Massachusetts Institute of Technology (MIT).
I chatted to Emmanuel about his challenges learning Chinese, the story behind his Full Chinese app and why he’s trying to bridge a divide between academic linguists and language learners.
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