Intelligent Input and Analysis System of English Characters from the Perspective of Semantic Recognition

This paper absorbs some basic ideas of Lexical Functional Grammar (LFG) and knowledge of semantic recognition, and presents an expectation-driven intelligent analysis system for English Chinese character input based on grammatical and semantic analysis. The language model BERT in the field of natural language processing proposes a method for hiding Chinese and English text information based on input errors. Since the features of Chinese and English texts are quite different, and the embedding method of this article is based on words, the task of Chinese word segmentation is also involved in Chinese text. Therefore, this article proposes information embedding methods and blind extraction methods for Chinese text and English text respectively. Method, this method can replace some characters in plain text with generated input errors to embed information.