Document Type
Article
Abstract
Through small-scale sampling of relevant specialized texts to craft hands-on inferential vocabulary tasks, both students and teachers can benefit from corpus linguistic information. By discovering ways to collect and access real data, second-language teachers can create topic-specific corpora and use software to sort and highlight the data to create more rich and revealing classroom materials for improving vocabulary learning. This student-centered, data-driven learning can be easily adapted for different levels of reading students. Free or purchased software, as well as features of existing programs, can be put to use to access online texts
Disciplines
Linguistics | Social and Behavioral Sciences
Publication Date
1-1-2005
Language
English
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Stvan, Laurel Smith. 2005. Inferring New Vocabulary Using Online Texts. Computers in the Schools Volume 22, Issue 1/2(1/2). 85–96.