1. Introduction

Visual verbs play an important role in human language and are divided into "see" and "see" verbs. There are differences in the study of Chinese visual verbs, with varying interpretations of "see" and "see". There are various monosyllabic visual verbs in modern Chinese, but research has mostly focused on "look" and "see". Cross linguistic comparative research is limited. This article aims to explore the semantic and structural features of Chinese visual verbs through corpus analysis, as well as the reasons for research differences.

2. Research on Chinese visual verbs

In depth exploration of the research status of Chinese visual verbs at the syntactic, semantic, and pragmatic levels. Syntax research focuses on the grammaticalization and construction of visual verbs, such as the grammaticalization analysis of "look" and the functions of "look" and "see" in specific constructions. Semantic research covers analysis of lexicalization theory, exploration of polysemy, and comparison between visual verbs and English visual verbs. Pragmatic research focuses on the process of visual verbs developing into discourse markers, as well as visual verbs with regional or gender characteristics. In addition, the chapter also points out the limitations of existing research, such as excessive focus on commonly used visual verbs and a lack of cross linguistic comparisons. This study aims to use the BP analysis method to conduct a more in-depth analysis of the semantic and structural features of Chinese visual verbs from a cross linguistic perspective.

3. Corpus based behavioral feature analysis

The BP analysis method was used in this study to analyze the semantic distribution and synonyms similarity of Chinese visual verbs. The research steps include: 1) screening 20 monosyllabic visual verbs from the Modern Chinese Dictionary and CCL corpus, extracting 4500 indexes and performing data cleaning, and ultimately retaining 2419 samples; 2) Use 10 identification codes to manually label the samples, focusing on the distribution of activity and experience meanings; 3) Conduct data analysis using the Rling and pvclub packages in R language, demonstrate the hierarchical structure of visual verbs through descriptive statistics and clustering analysis, and validate the clustering validity using Bootstrap method.

4. Research on the Behavioral Characteristics of Chinese Visual Verbs

Analyzed the behavioral characteristics of Chinese visual verbs from two aspects: semantic distribution and hierarchical structure. In terms of semantic distribution, Chinese visual verbs can not only express visual semantics, but also be used to express cognitive meanings. Visual semantics are mainly divided into two categories: visual activities and visual experiences, among which "see" and "see" have significant semantic differences. The visual experience verbs mainly include "see" and "see", while other visual verbs are mainly used to express visual activity meanings. In terms of cognitive meaning, except for a few verbs, most Chinese visual verbs can express cognitive meaning, among which verbs such as "look, observe, see, and look" can express three main cognitive meanings. In other languages, cognitive meaning is usually expressed through visual experience verbs, and the ability of visual activity verbs to express cognitive meaning is limited.

5. Commonalities and Differences of Visual Verbs from a Cross Language Perspective

Chinese visual verbs exhibit characteristics in both commonalities and differences with other languages: commonalities are reflected in the fact that Chinese visual verbs include LOOK and SEE classes, which can derive cognitive meanings; The difference lies in the high proportion and diverse usage of Chinese visual activity verbs, which are located at the core of hierarchical clustering. These characteristics are jointly influenced by human cognitive mechanisms and different socio-cultural backgrounds. Most language visual verbs are categorized based on visual activity and experience, while Chinese visual activity verbs have a high degree of categorization, and the visual activity verb 'see' is a high-frequency prototype word. There are differences in the cognitive expression of visual verbs in different languages, which may be related to the similarity of cultural values and norms. Chinese, Vietnamese, and Thai tend to have visual activity meanings, while English and Spanish prefer visual experiential meanings. The active and experiential meanings coexist in Chinese visual verbs, but the emphasis on visual active meanings has led to differences in academic understanding of them.

6. Conclusion

Using BP analysis method to study Chinese visual verbs and reveal their cross linguistic commonalities and characteristics. Chinese visual verbs have both active, experiential, and cognitive meanings, with a high proportion of active verbs and diverse usages, ranking at the core of hierarchical clustering. Chinese language has a preference for visual activity meanings, and insufficient cognition has led to research disagreements. Research and enrich the theory of cognitive typology, providing reference for dictionary compilation and Chinese language teaching. Empirical data supports dictionary revision, such as sorting the meaning of "gu". Cross linguistic comparison reveals Chinese visual activity semantic preferences, helping Chinese learners understand lexical semantic differences and enhance language proficiency.