Background The topic Word order and FLT Approaches List and match Deep processing Our perspective and approach Two types of word order errors Phrasal verbs Adverb placement Summary References Towards a treatment of word order errors When to use deep processing – and when not to

in spite of the highly beneficial applications of corpus linguistics in language pedagogy, it has not found its way into mainstream efl. the major reasons seem to be the teachers’ lack of training and the unavailability of resources, especially computers in language classes. phrasal verbs have been shown to be a problematic area of learning english as a foreign language due to their semantic op...

The paper describes extraction of Estonian multi-word verbs from text corpora, using a languageand task-specific software tool SENVA, which is based on a statistical language-independent software tool SENTA (Dias et al, 2000). The outcome is a comprehensive list of 16,000 phrasal verbs. We describe the extraction tool, manual post-editing principles, and evaluate the outcome in terms of precisi...

This short paper is focused on the formal semantic model: Universal Semantic Code (USC), which acquires a semantic lexicon from thesauruses and pairs it with formal meaning representation. The USC model postulates: Knowledge Inference (KI) is effective only on the basis of Semantic Knowledge Representation (SKR). The USC model represents formalized meanings of verbs and phrasal verbs as a main ...

Abstract Acquiring vocabulary, as a significant and challenging part of language learning process, has always been consistent with reading. In this study, the researchers examined the effect of enhanced extensive reading on EFL learners’ incidental acquisition of English vocabulary, with specific focus on phrasal verbs. Twenty five homogenized participants were selected and divided into two gro...