The vocabulary of agriculture semi-popularization articles in English: A corpus-based study

Abstract

Based on the obtained research results, this paper makes an in-depth study of English vocabulary interpretation retrieval technology, and proposes a corpus based automatic retrieval technology of English vocabulary interpretation. This paper adopts the basic idea of text formalization in the field of natural language processing, uses part of speech, grammar and semantic markers to formalize the interpretation of English vocabulary, and mainly adopts the way of using vocabulary and various markers separately or mixed to serialize the interpretation of English vocabulary. In order to analyze the user input English vocabulary, the first step is to segment the user input natural language, and then extract the key words which can express the meaning of the sentence. The construction of English vocabulary interpretation domain ontology based on corpus needs a set of perfect engineering system method. The automatic retrieval model of English vocabulary interpretation is constructed to realize the automatic retrieval of English vocabulary interpretation. The constructed automatic retrieval model of English vocabulary interpretation includes grammar analysis subsystem and grammar analysis subsystem. Through comparative experiments, it is verified that the retrieval response time of this technology is shorter, and the retrieval performance is improved.