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In recent years, with the increasingly close international communication, the importance of intercultural communication language has become more and more important. Proficiently mastering the appropriateness of intercultural communication language is an important part of national etiquette, which can represent the self-cultivation of a country. However, in reality, many students cannot master language appropriateness very well. Therefore, it is necessary to retrieve and classify intercultural communication languages based on distributed control systems, so as to improve language appropriateness and national comprehensive strength. This study proposed a language processing method based on distributed computing, which solved the problems of a large amount of computation and low accuracy in traditional language processing methods and simply designed a distributed control system, which could process language for intercultural communication. The results of this study showed that the language appropriateness score of the respondents was 53 points before the system developed in this study was used. After using the system developed in this study to retrieve and correct the language errors, the language appropriateness score of the respondents was 95 points, which was 42 points higher and also showed that the system developed in this study could effectively improve Language appropriateness.