Publicado en 3C Empresa – Volume 13, Issue 1 (Ed. 53)

Autores

• Kehong Tan*

Resumen

Abstract

In this paper, we first analyze the discourse features in social and cultural contexts, and from the perspective of discourse output, we establish a model of maximizing the expectation of context and discourse choice by estimating the parameters of context, and explore the problem of contextual formalization as well as the influence of the time factor on the discourse features. Then the Hidden Markov Chain was adopted to consider the time factor and establish the corpus derivation relationship. The communication subject, communication content, technique and communication object are taken as the main factors, and the Chinese language communication strategy is constructed by combining the theory of pragmatics. In the final analysis, it is found that the cumulative number of learners is the largest in the US region, and the model only needs about 25 rounds of iterative training at the optimal running time. In the factor analysis, webpage has the highest factor loading value of 0.846 in Factor 4, indicating that it plays an important role in Chinese language text dissemination. The proposed model develops a more targeted and effective communication strategy, which can improve the communication effect of Chinese language and promote cultural exchange and understanding.

Artículo

Palabras clave

Keywords

Context parameters; Markov chain; pragmatics theory; iterative training; factor loadings

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