• DocumentCode
    3174495
  • Title

    New Way to Lexical Acquisition: Approach of Corpus-Based Data Driven Learning

  • Author

    Mei, Li ; Kun, Yang ; Yuhua, Ni ; Yiping, Jiang

  • Author_Institution
    Inf. Technol. Coll., Beijing Normal Univ. at Zhuhai (BNUZ), Zhuhai, China
  • Volume
    3
  • fYear
    2009
  • fDate
    25-27 Dec. 2009
  • Firstpage
    41
  • Lastpage
    43
  • Abstract
    English proficiency is playing an important role in nearly every aspect of life: further education, job-huntng and career development. Lexical competence is regarded as one of the key factors to English learning. With traditional teaching method, students focus mostly on memorization of individual words and usage, which turn out to be boring and ineffective. The corpus-based data driven learning (DDL) approach, namely learning vocabulary and phrases through a large collection of structured and authentic text stored in a computer, may heralded as the answer to some of the problems which students face in lexical acquisition. This paper attempts to demonstrate the problems that most Chinese students face in lexical learning and to outline the benefits of DDL approach to lexical acquisition and how the course was designed to integrate DDL into classroom instruction.
  • Keywords
    computer aided instruction; linguistics; teaching; English language learning; English proficiency; corpus based data driven learning; lexical acquisition; lexical competence; lexical learning; vocabulary learning; Application software; Computer aided instruction; Computer applications; Continuing education; Educational institutions; Information technology; Natural languages; Speech; Vocabulary; Writing; approach; corpus; data driven learning; lexical acquisition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-0-7695-3930-0
  • Electronic_ISBN
    978-1-4244-5423-5
  • Type

    conf

  • DOI
    10.1109/IFCSTA.2009.248
  • Filename
    5384719