Design and Testing of Automatic Machine Translation System Based on Chinese-English Phrase Translation

Abstract

With the development of linguistics and the improvement of computer performance, the effect of machine translation is getting better and better, and it is widely used. The automatic expression translation method based on the Chinese-English machine takes short sentences as the basic translation unit and makes full use of the order of short sentences. Compared with word-based statistical machine translation methods, the effect is greatly improved. The performance of machine translation is constantly improving. This article aims to study the design of phrase-based automatic machine translation systems by introducing machine translation methods and Chinese-English phrase translation, explore the design and testing of machine automatic translation systems based on the combination of Chinese-English phrase translation, and explain the role of machine automatic translation in promoting the development of translation. In this article, through the combination of machine translation experiments and machine automatic translation system design methods, the design and testing of machine automatic translation systems based on Chinese-English phrase translation combinations are studied to cultivate people's understanding of language, knowledge, and intelligence and then help solve other problems. Language processing issues promote the development of corpus linguistics. The experimental results in this article show that when the Chinese-English phrase translation probability table is changed from 82% to 51%, the BLEU translation evaluation system for the combination of Chinese-English phrases is improved. Automatic machine translation saves time and energy of translation work, which shows that machine translation shows its advantages due to its short development cycle and easy processing of large-scale corpora.

Research on automatic translation of proper nouns in college English using machine aided technology

“…Where a is the number of common substrings, bi and ci are the number of nouns in any two noun sequences in the text [5].…”

“…Analyzes the semantic ontology structure of the translated content and builds an intelligent translation corpus of sentences, phrases and words to realize translation intelligence. However, the matching degree of semantic information filter by this method is not high, and the data recall rate is also low [5]. In order to solve the above problems, this project intends to design a machine-assisted translation method for college English professional nouns, which matches the professional nouns entered by users with the professional nouns in the corpus, so as to improve the accuracy and recall rate of English professional nouns translation.…”

Realization of Chinese-English Bilingual Speech Dialogue System using Machine Translation Technology

“…In this era of multiculturalism and globalization, bilingualism not only facilitates everyday interactions but also fosters deeper cross-cultural understanding and collaboration [1]. Through the lens of a bilingual speech dialogue, we delve into the dynamic exchange between individuals proficient in different languages, illustrating the richness and versatility that multilingualism brings to our conversations and connections [2].The realization of a Chinese-English bilingual speech dialogue system using machine translation technology marks a significant milestone in the realm of language processing and crosscultural communication. Leveraging advancements in natural language processing and machine learning, this system seamlessly bridges the linguistic gap between two of the world's most widely spoken languages [3].…”