Research on English Semantic Intelligent Analysis Method Based on Modern Intelligent Recognition Technology

Abstract

From the semantic point of view, word semantic calculation can be defined in the whole text or between single word meanings, so word semantics have relevance and similarity, that is, it reflects the commonness of two words in the same context and the aggregation characteristics between two words. English semantic intelligent recognition is the basic technology in English fast input, simultaneous translation and other application fields, which can greatly improve the efficiency of English reading and communication. However, in practical application, English character recognition is easily interfered by noise, which seriously affects the efficiency of English semantic recognition. Based on modern intelligent recognition technology, an English semantic analysis method is designed. Modern intelligent recognition technology can extract the information of all words in the text, accurately identify the long and short patterns of text data, and accurately identify the emotional information contained in real and random English text. This paper studies the English Semantic Intelligent analysis method based on modern intelligent recognition technology, which shows that modern intelligent recognition technology has higher accuracy and calling rate in the process of sentence translation, especially in the English translation of prepositions, function words and tenses.