Standard machine translation systems process sentences in isolation and hence ignore
extra-sentential information, even though extended context can both prevent mistakes in …

Recent years have seen a surge of interest in dialogue translation, which is a significant
application task for machine translation (MT) technology. However, this has so far not been …

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 …

In this paper, we investigate how different aspects of discourse context affect the
performance of recent neural MT systems. We describe two popular datasets covering news …

We describe Docent, an open-source decoder for statistical machine translation that breaks
with the usual sentence-bysentence paradigm and translates complete documents as units …

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 …

This paper presents a method for verb phrase (VP) alignment in an English/French parallel
corpus and its use for improving statistical machine translation (SMT) of verb tenses. The …

One of the important differences between English and French grammar is related to how
their verbal systems handle aspectual information. While the English simple past tense is …

The correct translation of verb tenses ensures that the temporal ordering of events in the
source text is maintained in the target text. This paper assesses the utility of automatically …

Watching TV programs at the scheduled airtime is difficult due to time differences between
countries or personal circumstances. Not to be a victim of spoilers, people sometimes …