Ensuring agreement between the subject and the main verb is crucial for the correctness of
the information that a sentence conveys. While generating correct subject-verb agreement is …

Support-verb constructions (ie, multiword expressions combining a semantically light verb
with a predicative noun) are problematic for standard statistical machine translation systems …

This paper presents the LIU system for the WMT 2011 shared task for translation between
German and English. For English–German we attempted to improve the translation tables …

We consider the value of replacing and/or combining string-basedmethods with syntax-
based methods for phrase-based statistical machine translation (PBSMT), and we also …

Recent research has shown that Phrase-Based Statistical Machine Translation (PB-SMT)
systems can benefit from two enhancements:(i) using words and POS tags as context …

Mismatches between training and test data are a ubiquitous problem for real SMT
applications. In this paper, we examine a type of mismatch that commonly arises when …

Statistical Machine Translation (SMT) typically has difficulties with less-resourced languages
even with homogeneous data. In this thesis we address the application of Example-Based …

In this paper a method to incorporate linguistic information regarding single-word and
compound verbs is proposed, as a first step towards an SMT model based on linguistically …

We present a method for improving word alignment quality for phrase-based SMT by
reordering the source text according to the target word order suggested by an initial word …

We present an approach to statistical machine translation that combines ideas from phrase-
based SMT and traditional grammar-based MT. Our system incorporates the concept of multi …