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Corpus-based methods for NLP and translation studies

Bibliographic Data

ID6152219
AuthorsSusan Armstrong (0000-0001-5489-6365, corresponding author)
Year1997
Volume2
Issue1-2
Pages141-162
Publication date1997-01-01
Open AccessNo
TypeARTICLE
VenueInterpreting International Journal of Research and Practice in Interpreting (JOURNAL)
Journal identifiersISSN: 1384-6647 • E-ISSN: 1569-982X
PublisherJohn Benjamins Publishing Company (PUBLISHER • NL)
DOI10.1075/intp.2.1-2.06arm
OpenAlexW1995618725
LanguageEN
Citations received2

This paper gives an overview of current topics and themes in corpus-based studies of language that could be of relevance for interpretation research. Basic methods and their practical use in NLP and speech applications are presented. Issues in data acquisition and annotation, the basis for all data-oriented work, are also discussed. The paper concludes with some suggestions on how this work could be applied to corpus-based interpretation studies

Annotation · Corpus linguistics · Interpretation (philosophy · Linguistics · Machine translation · Natural language processing · Programming language · Relevance (law · Text corpus · Translation (biology · Computer Science · Natural Language Processing Techniques · Philosophy · Artificial Intelligence

  • AI in interpreting

    Open Access•Ildikó Horváth•Across Languages and Cultures•2022

  • Studying Directionality in Simultaneous Interpreting through an Electronic Corpus

    Open Access•Cristina Monti, Cristina Mónica Monti et al.•Meta Journal des traducteurs•2009

Citations per year0.12
Citation span2009 - 2022 (14)
Highly citedNo

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