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Corpus-assisted language and linguistics teaching and learning

Research into learners' interlanguage, contrastive studies through corpus analysis, and the use of corpus techniques in language teaching and linguistics in the classroom (data driven learning).

Development of advanced web applications

WEB systems for access to databases. Semantic WEB, Ontologies and metadata. RDS dissemination systems and DATEX protocol data exchange systems. Development of WEB services. Mobile applications. Electronic forms, payment services and secure information processing.

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. It includes the valuation or subjectivity conveyed by users in commercial and non-commercial uses.

Developments in the design of monomodal and multimodal corpora with and without annotation

Analysis of the fundamentals in the compilation of corpora, 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.

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.