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Discourse connectives: theoretical models and empirical validations in humans and computers

Publikationsart Peer-reviewed
Publikationsform Buchbeitrag (peer-reviewed)
Autor/in Zufferey Sandrine, Popescu-Belis Andrei,
Projekt MODERN: Modeling discourse entities and relations for coherent machine translation
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Buchbeitrag (peer-reviewed)

Buch Formal models in the study of language
Herausgeber/in , Blochowiak Joanna
Verlag Springer, Berlin
Seite(n) -
ISBN 978-3-319-48831-8
Titel der Proceedings Formal models in the study of language

Open Access


Discourse connectives are procedural markers of textual cohesion that have long been an object of study in the Geneva school of pragmatics. In this chapter, we argue that Jacques Moeschler’s descriptions of causal connectives have contributed to provide cognitively valid theoretical insights on the nature of their procedural meaning, confirmed by recent processing and acquisition studies across several languages. We review these studies in Sections 2 and 3 respectively. In many of his contributions, Jacques Moeschler has also strived to find precise and testable features of connectives, with a potential for empirical validations in computer applications. In Section 4, we describe recent attempts to label automatically some of the meanings of connectives, using parallel corpora as training data, and show that this procedure improves their translation by automatic systems.