In Taiwan, and other Asian countries, students of English expect and are expected to memorize a lot of vocabulary: Ming Chuan University, for example, relies fairly heavily on vocabulary acquisition and retention in its teaching and testing resources. Oftentimes, lists of vocabulary items to be learned by students do not really belong to a particular topic, or fit it very loosely, because the items have not been chosen in a principled way. The present paper reviews the arguments for incidental learning and direct learning of vocabulary in ELT, and shows how a web corpus builder (WebBootCat [Lexical Computing, Ltd., n.d.]) can be used to build lists of words that are related to a particular topic in an intuitive and statistically principled way. A small number of seed search terms are used by WebBootCat to generate a corpus of texts on a given topic, and this corpus is searched to find vocabulary items that are salient to the topic.
|Title of host publication||CamTESOL Conference on English Language Teaching: Selected Papers|
|Publication status||Published - 2008|
|Event||CamTESOL Conference on English Language Teaching - Phnom Penh, Cambodia|
Duration: 23 Feb 2008 → 23 Feb 2008
|Conference||CamTESOL Conference on English Language Teaching|
|Period||23/02/08 → 23/02/08|