This paper presents an extended, harmonised account of our previous work on combining
subsentential alignments from phrase-based statistical machine translation (SMT) and …

For the state‐of‐the‐art in Machine Translation (MT) to advance, we contend that Statistical
MT (SMT) practitioners will have to collaborate with linguists and translators. This has not …

Web-based translation memory (TM) is a recent and little-studied development that is
changing the way localisation projects are conducted. This article looks at the technology …

We identify a number of aspects that can boost the performance of Neural Fuzzy Repair
(NFR), an easy-to-implement method to integrate translation memory matches and neural …

While the discussion of AI in the 1970s and 1980s explicitly referred to human cognition as a
benchmark for the success of prototype implementation, the relation and analogy to …

The availability of machine-readable bilingual linguistic resources is crucial not only for rule-
based machine translation but also for other applications such as cross-lingual information …

We describe a novel approach to MT that combines the strengths of the two leading corpus-
based approaches: Phrasal SMT and EBMT. We use a syntactically informed decoder and …

Throughout the 1970s and 1980s, Machine Translation (MT) research focused on the
development of so-called “second generation” systems, which aimed to translate text by a …

Paraphrases of an expression are alternative linguistic expressions conveying the same
information as the original. Technology for handling paraphrases has been attracting …

In this paper we present JETCAT, a Japanese-English transfer-based machine translation
system. Our main research contribution is that the transfer rules are not handcrafted but are …