A Corpus-based Comparative Study of Learn and Acquire
- Bei Yang
Abstract
As an important yet intricate linguistic feature in English language, synonymy poses a great challenge for second language learners. Using the 100 million-word British National Corpus (BNC) as data and the software Sketch Engine (SkE) as an analyzing tool, this article compares the usage of learn and acquire used in natural discourse by conducting the analysis of concordance, collocation, word sketches and sketch difference. The results show that different functions of SkE can make different contributions to the discrimination of learn and acquire. Pedagogical implications are discussed when the results are introduced into the classroom.
- Full Text: PDF
- DOI:10.5539/elt.v9n1p209
This work is licensed under a Creative Commons Attribution 4.0 License.
Journal Metrics
Index
- Academic Journals Database
- CNKI Scholar
- Educational Research Abstracts
- Elektronische Zeitschriftenbibliothek (EZB)
- EuroPub Database
- Excellence in Research for Australia (ERA)
- GETIT@YALE (Yale University Library)
- Harvard Library E-Journals
- IBZ Online
- INDEX ISLAMICUS
- JournalSeek
- JournalTOCs
- LearnTechLib
- Linguistics Abstracts Online
- LOCKSS
- MIAR
- MLA International Bibliography
- NewJour
- Open J-Gate
- PKP Open Archives Harvester
- Publons
- ResearchGate
- ROAD
- SHERPA/RoMEO
- Standard Periodical Directory
- Technische Informationsbibliothek (TIB)
- The Keepers Registry
- Ulrich's
- Universe Digital Library
Contact
- Gavin YuEditorial Assistant
- elt@ccsenet.org