Research on the Construction of Chinese-English Bilingual Parallel Corpus for Translation Teaching in Colleges and Universities

With the digital and informational transformation of education and teaching, translation teaching in colleges and universities has ushered in a more convenient and efficient new teaching means and methods. As a key digital teaching resource, Chinese-English bilingual parallel corpus has greatly promoted the development of translation teaching with rich translation examples and contextual information. However, at present, Chinese-English bilingual parallel corpora are faced with some problems, such as limited scale, insufficient accuracy of corpus alignment and lack of unified standards and norms, which cannot meet the actual needs of translation teaching at different levels and fields. In this regard, based on the current situation, this paper will propose a set of Chinese-English bilingual parallel corpus construction scheme by combining artificial intelligence and deep learning technology, and establish a brand-new corpus design and development paradigm to strengthen the strong support for translation teaching in colleges and universities. Practice has proved that the Chinese-English bilingual parallel corpus based on Bidirectional Long Short-Term Memory (Bi-LSTM) is obviously superior to the current corpus in terms of corpus processing efficiency and translation accuracy, and has become a platform for students to deeply understand and practice translation skills, further enriching the teaching content and teaching methods of translation in colleges and universities, and making positive contributions to promoting the integration, innovation and high-quality development of translation education in colleges and universities.