Corpus use in cross-linguistic research

• Titel: Corpus use in cross-linguistic research
• Titelzusatz: paving the way for teaching, translation and professional communication
• Mitwirkende: Izquierdo, Marlén [HerausgeberIn]
• Mitwirkende: Sanz-Villar, Zuriñe [HerausgeberIn]
• Verf.angabe: edited by Marlén Izquierdo, Zuriñe Sanz-Villar
• Verlagsort: Amsterdam ; Philadelphia
• Verlag: John Benjamins Publishing Company
• E-Jahr: 2023
• Jahr: [2023]
• Umfang: 1 Online-Ressource (VI, 237 Seiten)
• Illustrationen: Illustrationen, Diagramme
• Gesamttitel/Reihe: Studies in corpus linguistics ; volume 113
• ISBN: 978-90-272-4931-9
• DOI: doi:10.1075/scl.113
• Datenträger: Online-Ressource
• Dokumenttyp: Aufsatzsammlung
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe: Corpus use in cross-linguistic research. - Amsterdam : John Benjamins Publishing Company, 2023. - VI, 237 Seiten
• Sach-SW: Essays
• K10plus-PPN: 1869699017
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext

Abstract

Cross-linguistic research is a fruitful field of language inquiry that has benefited enormously from the use of corpora. As sources of linguistic data of various kinds and as tools for language processing, corpora have shaped the development of cross-linguistic research, enabling both language description and practical applications. This volume contains twelve studies that emphasize the usefulness and usability of parallel corpora in accurately exploring the structure and use of seven under-researched languages and language varieties. The first part emphasizes the role of corpus-based descriptive analyses at the lexicogrammatical and discursive levels, as a first step on the way towards concrete applications like translation or language teaching. The second part focuses on the role of parallel-corpus-based language processing techniques and applications that facilitate professional communication. This book will be of interest to scholars in contrastive linguistics, translation studies, discourse analysis, language teaching, and natural language processing.