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Direct linkAckerley, Katherine – Language Learning & Technology, 2017
This study analyses the effects of data-driven learning (DDL) on the phraseology used by 223 English students at an Italian university. The students studied the genre of opinion survey reports through paper-based and hands-on exploration of a reference corpus. They then wrote their own report and a learner corpus of these texts was compiled. A…
Descriptors: Phrase Structure, Computational Linguistics, English (Second Language), Second Language Learning
MacDonald, Penny; Garcia-Carbonell, Amparo; Carot, Sierra, Jose Miguel – Language Learning & Technology, 2013
This study focuses on the computer-aided analysis of interlanguage errors made by the participants in the telematic simulation IDEELS (Intercultural Dynamics in European Education through on-Line Simulation). The synchronous and asynchronous communication analysed was part of the MiLC Corpus, a multilingual learner corpus of texts written by…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Interlanguage
Perez-Llantada, Carmen – Language Learning & Technology, 2009
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…
Descriptors: Discourse Analysis, English for Academic Purposes, English (Second Language), Teaching Methods
Peer reviewedLee, David Y. W. – Language Learning & Technology, 2001
Clarifies the confusing terms "genre,""text type,""domain,""sublanguage," and "style" in an attempt to help individuals navigate the British National Corpus. (Author/VWL)
Descriptors: Computational Linguistics, Databases, Definitions, Foreign Countries
Peer reviewedAston, Guy – Language Learning & Technology, 2001
Responds to an earlier article that sought to clarify the terms "genre,""text type,""domain,""sublanguage," and "style" in an attempt to help individuals navigate the British National Corpus. (Author/VWL)
Descriptors: Computational Linguistics, Databases, Definitions, Foreign Countries
