
Application of Recommendation Algorithm and Big Data Technology in Computer English Corpus Database
Author(s) -
Qingling Wang
Publication year - 2021
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 - 10.1088/1742-6596/2083/3/032092
Subject(s) - corpus linguistics , computer science , vocabulary , natural language processing , context (archaeology) , artificial intelligence , computational linguistics , text corpus , language technology , linguistics , applied linguistics , quantitative linguistics , natural language , comprehension approach , paleontology , philosophy , biology
Corpus linguistics is one of the branches of modern linguistics. It is also a cutting-edge research problem of modern linguistics spawned by the background of the information technology era. Corpus linguistics can reset the teaching role of English majors. College English vocabulary teaching makes use of the corpus’s abundant real language materials and the computer’s ability to analyze and process large-scale corpus, guide students to explore the usage of vocabulary in the context, and use the corpus to deepen students’ autonomous learning. This article will start with the development of corpus linguistics, explain the necessity of combining corpus and English language teaching, and propose a corpus linguistics-based English language learning platform system in colleges and universities, and combine with semantic recommendation algorithms to verify that the system is in English learning.