Research on Japanese Vocabulary Learning Recommendation Methods Based on Data Intelligence Analysis

In today’s era of rapid development of informatization, data intelligence, or simply "digital intelligence", is becoming an important force driving language learning and application. For a language like Japanese, which has rich word meanings and a complex grammar system, the intervention of digital intelligence has undoubtedly brought subversive changes to traditional learning methods. The purpose of this article is to explore how digital intelligence affects the learning and use of Japanese vocabulary in many ways, and how it has injected new impetus into language development. First, we need to understand how digital intelligence works. In short, digital intelligence uses advanced data analysis tools, artificial intelligence algorithms, and big data processing capabilities to parse and optimize information. In the field of Japanese language learning and teaching, this means that through large amounts of linguistic data, such as text, speech, and video materials, Shuai is able to identify the patterns of vocabulary used, its frequency, and how it changes in different contexts.Now let’s dive into the specific effects of digital intelligence on Japanese vocabulary, Vocabulary memorization and acquisition: With the help of digital intelligence tools, learners can obtain a list of words arranged according to the actual frequency of use, so that they can focus on the most commonly used and critical vocabulary more efficiently. In addition, machine learning-based algorithms recommend words that are appropriate for an individual’s level, making learning more personalized.