Corpus-linguistic applications

Current studies, new directions


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This volume provides an overview of four currently booming areas in the discipline of corpus linguistics. The first section is concerned with studies of the history and development of morphological and syntactic phenomena in English, Spanish, and Mandarin Chinese. The second section contains case studies investigating the functions and contexts of use of different morphological and syntactic forms in English, Spanish, Russian, and Mandarin Chinese. The third section contains studies in the field of genre and register from settings as diverse as health, call center, academic, and legal discourse. The final section features papers refining existing, and exploring new, corpus-linguistic methods: dispersions, text mining, corpus similarity, as well as the development of extraction patterns and the evaluation of tagging methods.

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Stefanie Wulff, Stefan Th. Gries, and Mark Davies: Introduction
Diachronic applications
Viola G. Miglio: Online databases and language change: the case of Spanish dizque
Alfonso Medina Urrea: Toward a comparison of unsupervised diachronic morphological profiles
Juhani Rudanko: Change and variation in complement selection: a case study from recent English, with evidence from large corpora
Cristina Mota: Journalistic corpus similarity over time
Function-oriented applications
Georgie Columbus: “Ah lovely stuff, eh?” – invariant tag meanings and usage across three varieties of English
Philip Dilts: Good nouns, bad nouns: what the corpus says and what native speakers think
Tatiana Zdorenko: Subject omission in Russian: a study of the Russian National Corpus
Register/genre applications
Phuong Dzung Pho: Linguistic realizations of rhetorical structure: a corpus-based study of research article abstracts and introductions in applied linguistics and educational technology
Eniko Csomay and Viviana Cortes: Lexical bundle distribution in university classroom talk
Luciana Diniz: Suggestions and recommendations in academic speech
Eileen Fitzpatrick and Joan Bachenko: Building a forensic corpus to test language-based indicators of deception
Methodological applications
Stefan Th. Gries: Dispersions and adjusted frequencies in corpora: further explorations
Christopher Cox: Probabilistic tagging of minority language data: a case study using Qtag
Elke Teich and Peter Fankhauser: Exploring a corpus of scientific texts using data mining
Kenneth Bloom and Shlomo Argamon: Automated learning of appraisal extraction patterns
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