Open AccessDetection of Non-Standard English Expressions by Language Sense
Author(s) -
Chao Li,
Jingxiang Zhang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1267/1/012018
Subject(s) - expression (computer science) , computer science , natural language processing , perception , relevance (law) , first language , standard english , linguistics , artificial intelligence , psychology , programming language , philosophy , neuroscience , political science , law
This paper proposes an algorithm for perception English essay, in order to improve the ability of Chinese students’ writing which expressing more standard. Because students are influenced by their mother tongue in second language acquisition, English expression is not accurate enough. From the lexical and syntactic aspects, this paper uses the language sense relevance analysis algorithm (N-LanSen) based on the N-model to deeply perceive the students’ inappropriate expression in the essay. Different extraction methods are used to extract different features, and the corresponding feedback can be given to the places where the expression is not standard. The experimental results show that the algorithm can detect the place where English expression is not standard with high accuracy.