Corpus-based methods for NLP and translation studies

Abstract

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.