Automated text analysis allows researchers to analyze large quantities of text. Yet,
comparative researchers are presented with a big challenge: across countries people speak …

2.1 Disfluency or repair? Levelt's legacy 10 2.2 Holistic definitions of fluency 13 2.3
Componential approaches to fluency and disfluency 14 2.3. 1 Qualitative components of …

Abstract Hardmeier, C. 2014. Discourse in Statistical Machine Translation. Studia Linguistica
Upsaliensia 15. 185 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-8963-2 …

The various meanings of discourse connectives like while and however are difficult to
identify and annotate, even for trained human annotators. This problem is all the more …

We present ParCor, a parallel corpus of texts in which pronoun coreference―reduced
coreference in which pronouns are used as referring expressions―has been annotated …

Translation studies rely more and more on corpus data to examine specificities of translated
texts, that can be translated from different original languages and compared to original texts …

Current approaches to statistical machine translation assume that sentences in a text are
independent, ignoring the property of connectedness present in virtually all discourse. We …

Coherent discourse is distinguished from a mere collection of utterances by the satisfaction
of a diverse set of constraints, for example choice of expression, logical relation between …

1.1 Background Discourse marker research today still faces many terminological and
theoretical issues which restrain progress in the field, despite the multiplicity of theoretical …

In this article, we explore the potential of using sentence-level discourse structure for
machine translation evaluation. We first design discourse-aware similarity measures, which …