Chang Bioscience

Artificial intelligence (AI) has achieved mastery of human languages by employing statistical methods to analyze patterns and predict word sequences based on vast amounts of text data. This raises an intriguing possibility: could humans adopt similar strategies when learning a language, prioritizing the most frequently used words?

In Chinese, the 300 most common characters make up approximately 67.7% of a typical text, and incorporating another 300 characters increases coverage to about 80%. By focusing on these frequently used characters, learners may be able to quickly start reading in Chinese and naturally expand their vocabulary through continued practice.