Search Results - "McEnery, Tony"

Collocations in Corpus‐Based Language Learning Research: Identifying, Comparing, and Interpreting the Evidence by Gablasova, Dana, Brezina, Vaclav, McEnery, Tony

“…This article focuses on the use of collocations in language learning research (LLR). Collocations, as units of formulaic language, are becoming prominent in…”
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Exploring Learner Language Through Corpora: Comparing and Interpreting Corpus Frequency Information by Gablasova, Dana, Brezina, Vaclav, McEnery, Tony

“…This article contributes to the debate about the appropriate use of corpus data in language learning research. It focuses on frequencies of linguistic features…”
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Epistemic Stance in Spoken L2 English: The Effect of Task and Speaker Style by Gablasova, Dana, Brezina, Vaclav, Mcenery, Tony, Boyd, Elaine

“…The article discusses epistemic stance in spoken L2 production. Using a subset of the Trinity Lancaster Corpus of spoken L2 production, we analysed the speech…”
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Are You What You Read? Predicting Implicit Attitudes to Immigration Based on Linguistic Distributional Cues From Newspaper Readership; A Pre-registered Study by Lynott, Dermot, Walsh, Michael, McEnery, Tony, Connell, Louise, Cross, Liam, O'Brien, Kerry

“…The implicit association test (IAT) measures bias towards often controversial topics (e.g., race, religion), while newspapers typically take strong…”
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Representation of Drought Events in the United Kingdom: Contrasting 200 years of News Texts and Rainfall Records by Dayrell, Carmen, Svensson, Cecilia, Hannaford, Jamie, McEnery, Tony, Barker, Lucy J., Baker, Helen, Tanguy, Maliko

“…This paper combines evidence from the analyses of large sets of newspaper material and long-term rainfall records to gain insights into representations of…”
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The utility of topic modelling for discourse studies: A critical evaluation by Brookes, Gavin, McEnery, Tony

“…This article explores and critically evaluates the potential contribution to discourse studies of topic modelling, a group of machine learning methods which…”
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Correlation, collocation and cohesion: A corpus-based critical analysis of violent jihadist discourse by Brookes, Gavin, McEnery, Tony

“…This article explores the language of violent jihad, focussing upon lexis encoding concepts from Islam. Through the use of correlation statistics, this article…”
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Corpus-based and Computational Approaches to Discourse Anaphora by Botley, Simon Philip, McEnery, Tony

“…Discourse anaphora is a challenging linguistic phenomenon that has given rise to research in fields as diverse as linguistics, computational linguistics and…”
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Comparing and combining a semantic tagger and a statistical tool for MWE extraction by Piao, Scott Songlin, Rayson, Paul, Archer, Dawn, McEnery, Tony

“…Automatic extraction of multiword expressions (MWEs) presents a tough challenge for the NLP community and corpus linguistics. Indeed, although numerous…”
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Collocation, Semantic Prosody, and Near Synonymy: A Cross-Linguistic Perspective by Xiao, Richard, McEnery, Tony

“…This paper explores the collocational behaviour and semantic prosody of near synonyms from a cross-linguistic perspective. The importance of these concepts to…”
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Anaphora Processing: Linguistic, cognitive and computational modelling by Branco, António, McEnery, Tony, Mitkov, Ruslan

“…Anaphora processing is a central topic in the study of natural language and has long been the object of research in a wide range of disciplines. The correct…”
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Swearing, discourse and function in conversational British English by McEnery, Tony, Brookes, Gavin, Hanks, Elizabeth, Gerigk, Kevin, Egbert, Jesse

“…In this paper we look at the role that macrostructures in discourse have to play in the study of swearing. While studied in isolation, such macrostructures…”
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Sketching Muslims: A Corpus Driven Analysis of Representations around the Word "Muslim" in the British Press 1998-2009 by Baker, Paul, Gabrielatos, Costas, McEnery, Tony

“…This article uses methods from corpus linguistics and critical discourse analysis to examine patterns of representation around the word "Muslim" in a 143…”
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A useful methodological synergy? Combining critical discourse analysis and corpus linguistics to examine discourses of refugees and asylum seekers in the UK press by BAKER, PAUL, GABRIELATOS, COSTAS, KHOSRAVINIK, MAJID, KRZYŻANOWSKI, MICHAŁ, MCENERY, TONY, WODAK, RUTH

“…This article discusses the extent to which methods normally associated with corpus linguistics can be effectively used by critical discourse analysts. Our…”
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Language Learning Research at the Intersection of Experimental, Computational, and Corpus‐Based Approaches by Rebuschat, Patrick, Meurers, Detmar, McEnery, Tony

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Press and social media reaction to ideologically inspired murder: The case of Lee Rigby by McEnery, Tony, McGlashan, Mark, Love, Robbie

“…This article analyses reaction to the ideologically inspired murder of a soldier, Lee Rigby, in central London by two converts to Islam, Michael Adebowale and…”
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Building LANA-CASE, a spoken corpus of American English conversation: Challenges and innovations in corpus compilation by Hanks, Elizabeth, McEnery, Tony, Egbert, Jesse, Larsson, Tove, Biber, Douglas, Reppen, Randi, Baker, Paul, Brezina, Vaclav, Brookes, Gavin, Clarke, Isobelle, Bottini, Raffaella

“…The Lancaster-Northern Arizona Corpus of Spoken American English (LANA-CASE) is a collaborative project between Lancaster University and Northern Arizona…”
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Negation in Chinese: A Corpus-Based Study by Xiao, Richard, McEnery, Tony

“…This article explores negation in Chinese on the basis of spoken & written corpora of Mandarin Chinese. The use of corpus data not only reveals central…”
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NEGATION IN CHINESE: A CORPUS-BASED STUDY / 汉语中的否定：基于语料库的研究 by Xiao, Richard, McEnery, Tony, 肖忠华

“…This article explores negation in Chinese on the basis of spoken and written corpora of Mandarin Chinese. The use of corpus data not only reveals central…”
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Demonstratives in English: A Corpus-Based Study by Botley, Simon, Mcenery, Tony

“…The demonstratives this, these, that, & those in three 100,000-word corpora of Modern English are annotated for values of five distinctive features: (1)…”
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