A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation

A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena

Word reordering is one of the most difficult aspects of statistical machine translation (SMT), and an important factor of its quality and efficiency. Despite the vast amount of research published to date, the interest of…

Combining Word Reordering Methods on different Linguistic Abstraction Levels for Statistical Machine Translation

Rule-based Reordering Space in Statistical Machine Translation

In Statistical Machine Translation (SMT), the constraints on word reorderings have a great impact on the set of potential translations that are explored. Notwithstanding computationnal issues, the reordering space of a S…

Word Alignment-Based Reordering of Source Chunks in PB-SMT

Reordering poses a big challenge in statistical machine translation between distant language pairs. The paper presents how reordering between distant language pairs can be handled efficiently in phrase-based statistical …

Universal Reordering via Linguistic Typology

In this paper we explore the novel idea of building a single universal reordering model from English to a large number of target languages. To build this model we exploit typological features of word order for a large nu…