Although data collection has been used in language learning settings for some time, it is only in recent decades that large corpora have become available, along with efficient tools for their use. Advances in natural language processing (NLP) have enabled rich tagging and annotation of corpus data, essential for their effective use in language…

This study investigates differences in the language and discourse characteristics of course blogs and traditional academic submissions produced in English by native (L1) and advanced second language (L2) writers. One hundred and fifty-two texts generated by 38 graduate students within the context of the same Master's level course were analysed…

This paper adopts an automated frequency-driven approach to identify frequently-used word combinations (i.e., "lexical bundles") in academic writing. Lexical bundles retrieved from one corpus of published academic texts and two corpora of student academic writing (one L1, the other L2), were investigated both quantitatively and qualitatively.…

This paper describes a corpus-based approach to teaching and learning spoken grammar for English for Academic Purposes with reference to Bhatia's (2002) multi-perspective model for discourse analysis: a textual perspective, a genre perspective and a social perspective. From a textual perspective, corpus-informed instruction helps students identify…