An Analysis of the Application of Wikipedia Corpus on the Lexical Learning in the Second Language Acquisition
- Jing Shi
Abstract
Corpus linguistics has transformed linguistic research but has a slightly moderate impact on the ESL teaching and learning. The Wikipedia Corpus, designed by Mark Davis is introduced in this essay. The corpus allows teachers to search Wikipedia in a powerful way: they can search by word, phrase, part of speech, and synonyms. Teachers can also find collocates, and see re-sortable concordance lines for any word or phrase. The application of Wikipedia corpus is conducted in the experimental group whereas the conventional lexical teaching and learning mode with teacher imparting lexical information to students is carried out. The collected data is assessed and evaluated. The empirical evidence reveals the beneficial effects of corpus linguistics on ESL teaching and learning.
- Full Text:
PDF
- DOI:10.5539/elt.v8n8p171
Journal Metrics
Citation Metrics (for informational purposes only; sourced from Google Scholar as of May 2026):
1. Citations (May 2026): 112462
3. i10-index (February 2025): 1811
*Note: Citation metrics vary significantly across indexing platforms. These figures are provided transparently and should not be used for cross-database comparisons. For methodological details, please refer to the official Google Scholar Metrics documentation.
Index
- Academic Journals Database
- CNKI Scholar
- 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
- Library and Archives Canada(LAC)
- Linguistics Abstracts Online
- LOCKSS
- MIAR
- MLA International Bibliography
- NewJour
- Open J-Gate
- PKP Open Archives Harvester
- ResearchGate
- ROAD
- SHERPA/RoMEO
- Technische Informationsbibliothek (TIB)
- The Keepers Registry
- Ulrich's
- Universe Digital Library
Contact
- Gavin YuEditorial Assistant
- elt@ccsenet.org