Title :
Text categorization in selecting authentic materials on tertiary level
Author :
Fei Lang ; Guang-Lu Sun ; Yuewu Shen
Author_Institution :
Sch. of Foreign Languages, Harbin Sci. & Technol., Harbin, China
Abstract :
Corpus linguistics as a methodology of linguistics research has had such significant influence over the years that corpora have been used extensively in language teaching and learning. This paper explores, through the method of text categorization (TC), the selection of appropriate corpus data for tertiary-level students on English learning. It firstly introduced the importance of corpora data´s authentic nature on teaching English as a foreign language (TEFL). Then criteria for selecting authentic English materials on tertiary level were given. According to the criteria, it discussed about the method of TC and by which it conducted the experiment of classifying corpora data to meet tertiary-level learners´ needs. Results show that TC is an effective way of categorizing corpora data and thereby selecting appropriate authentic material considering specific criteria. Additionally, through TC, corpora data could be applied as valid teaching and learning resources in TEFL.
Keywords :
computer aided instruction; natural language processing; text analysis; English learning; TEFL; authentic English materials; authentic materials; corpora data categorization; corpus data; corpus linguistics; foreign language; language teaching; learning resources; linguistics research; text categorization; Education; Europe; Materials; Sun; Support vector machines; Text categorization; English teaching and learning; authentic material; corpora; text categorization;
Conference_Titel :
Strategic Technology (IFOST), 2011 6th International Forum on
Conference_Location :
Harbin, Heilongjiang
Print_ISBN :
978-1-4577-0398-0
DOI :
10.1109/IFOST.2011.6021135