Name
Corpus Linguistics: Developments and Applications – CORPLING
Members
Carmen Gregori Signes (Director), Miguel Fuster Márquez (Member), Jesús Romero Barranco (Member), María Alcantud Díaz (Collaborator), Ana Belén Cabrejas Peñuelas (Collaborator), Luisa Chieritchetti (Collaborator), Giovanni Garofalo (Collaborator), Sergio Maruenda Bataller (Collaborator), Paula Rodríguez Abruñeiras (Collaborator), José Santaemilia Ruiz (Collaborator)
Objectives
- Design and compilation of representative linguistic corpora of fiction and non-fiction genres.
- Computer developments in corpus linguistics.
- Automatic developments of statistical quantification based on corpora
- Developments and analysis of monomodal or multimodal texts of digital and non-digital genres based on corpus techniques.
- Lexicographic, phraseological, translatological and language learning and teaching applications.
Lines of research
- Developments in the design of monomodal and multimodal corpora with and without annotation. Analysis of the fundamentals of corpus compilation, whether synchronic (current) or diachronic, monolingual or multilingual, for the examination of the language as a whole, or part of it. Analysis of the role of different types of annotation: grammatical, semantic, discursive, multimodal.
- Analysis of written, oral and digital discourse and genres. Research using as a priority corpus tools on a variety of genres and discourses in order to evaluate the effectiveness of corpus tools.
- Lexicographical, phraseological, grammatical and translatological analysis. Evaluation of corpus linguistics in the compilation and elaboration of monolingual, multilingual lexicography, including phraseological aspects, the writing of grammars based on actual language use and translation.
- Corpus-assisted language teaching and learning and linguistics… Research into learners’ interlanguage, contrastive studies through corpus analysis, and use of corpus techniques in language teaching and linguistics in the classroom (data driven learning).
- Developments in opinion mining (sentiment analysis). Analysis of the effectiveness of tools designed by computational linguists and computer engineers in examining digital genres, such as computer-mediated communication. Includes the valuation or subjectivity conveyed by users in commercial and non-commercial uses.