The concept, connotation, and text types of external propaganda translation were discussed, emphasizing the importance of utilizing high-quality corpus databases and big data analysis methods to enhance the quality and effectiveness of overseas dissemination of Chinese characteristic discourse.

1. Current situation of multilingual parallel corpus construction at home and abroad

Discussed the current status of the construction of global multilingual parallel corpora, including the scale and characteristics of corpora in countries such as the United Kingdom, the United States, Japan, and South Korea. At the same time, the development of corpus construction in China since the 1970s was introduced, especially the application of corpora in translation practice and theoretical research since 2003, as well as their widespread use in humanities, social sciences, and other fields. Translation teaching research has become a focus of corpus research in China, including both theoretical and empirical explorations.

2 Practical problems in the construction of high-end corpus of Chinese characteristic discourse

Discussed the practical issues of building a high-end corpus of Chinese characteristic discourse. It is pointed out that language is a reflection of a country's soft power, and corpus, as a database for recording the history of language and cultural development, is of great significance for the use and development of the national lingua franca. Although the existing corpus in China has basic corpus, there are many shortcomings in application fields and technical aspects, such as limited scale, scattered sources, and inconsistent standards. With the development of language intelligence, it provides a foundation for the intelligent construction of multilingual parallel corpus resources. Building a multilingual official authoritative corpus plays an important role in external propaganda translation, foreign affairs, and foreign language teaching research. It can effectively reduce the space for mistranslation, misinterpretation, and misinterpretation, and seize the international first definition and interpretation power of Chinese characteristic discourse. At the same time, the translation of Chinese characteristic discourse into foreign languages has become a new focus of international public opinion struggle, and it is urgent to build a high-end corpus of multilingual foreign translation of Chinese characteristic discourse.

3 Innovative highlights of high-end corpus for multilingual translation of Chinese characteristic discourse to the outside world

The high-end corpus of multilingual foreign translation with Chinese characteristics constructed by the China Foreign Languages Administration has innovative features such as diverse languages, high-end authoritative content, application of artificial intelligence, and interdisciplinary fields. This corpus contains over 20 languages and contains approximately 40 million words and phrases of Chinese characteristic core discourse, covering eight major fields such as economy and politics, and providing multiple alternative translation solutions. Using neural machine translation technology, establish a database of external communication language materials to support intelligent assisted writing. Integrating theories from multiple disciplines such as translation studies and linguistics, achieving personalized services, providing fast search functions, and improving international communication work models. The included entries and translation examples can be used to summarize the rules of translation studies, serve external propaganda translation teaching and talent cultivation. We plan to utilize natural language understanding technology to develop applications such as news automatic generation systems and international communication machine translation engines.

Key Construction Content of High end Corpus for Multilingual External Translation of Chinese Characteristics Discourse

Introduced the key construction contents of the high-end corpus for multilingual translation of Chinese characteristic discourse to foreign countries. The basic architecture includes modules such as user management, computer-aided translation (CAT), corpus retrieval, data management, online corpus alignment, and API calling, supporting automatic alignment for multiple languages, manual proofreading, metadata annotation, and quality assessment. In terms of content collection, the corpus sources include paper documents and online resources, which need to be proofread, formatted, and standardized. Corpus processing includes alignment, annotation, and terminology management. Alignment units cover levels such as vocabulary, phrases, sentences, paragraphs, etc. Annotations include meta information such as language, translator, and proofreader. Term management supports multilingual vocabulary retrieval and contextual retrieval, standardizing the translation of characteristic terms. In terms of collaborative assisted translation, CAT tools utilize translation memory and terminology databases to improve translation efficiency and consistency, integrate machine translation (MT) engines to provide translation suggestions, support cloud storage, quality assurance, and team collaboration.

Research on the Expansion of High end Corpus for Multilingual External Translation of 5 Chinese Characteristics Discourse

Emphasis was placed on the importance of multilingual corpora in the construction of China's distinctive discourse system, with the aim of improving the quality of language resource services for international communication work. The chapter proposes that a high-end corpus for multilingual foreign translation based on artificial intelligence will meet the needs of international communication capacity building and create value for the improvement of national translation capabilities. Section 5.1 discusses the research and practice of standardizing the translation of Chinese characteristic discourse. It is recommended to create an auxiliary translation quality assessment tool, establish an authoritative translation reference library, and use AI model automation training to achieve automatic recognition and prompt of translation problems. Section 5.2 discusses the theoretical research on the construction of China's foreign discourse system, proposing the use of corpora to explore intelligent generation and adaptation techniques for foreign discourse, analyze inappropriate expressions, form a list of words that need to be used with caution, and enhance international communication efficiency. Section 5.3 introduces the construction of a specific discourse terminology database in China, proposing the construction of a terminology resource database that combines traditional unimodal terminology databases and multimodal features to promote the sharing and application of characteristic terminology resources. Section 5.4 discusses the application of international communication translation teaching and proposes that language databases can provide resources for teaching, help students understand the connotation of the source language, explore translation strategies, and enhance cross-cultural conversion abilities. Section 5.5 discusses the promotion of generative AI to empower news dissemination, proposing the use of natural language processing and machine learning algorithms to establish a news event analysis model to assist in the generation of news titles, abstracts, illustrations, etc., supporting the capacity building of Chinese media to publish authoritative information and in-depth reports overseas. Finally, the chapter points out that the China Foreign Languages Administration is continuously optimizing and improving the high-end corpus of multilingual foreign language translation with Chinese characteristics, which will provide strong support for the construction of national translation and international communication capabilities.