In this paper, we describe the ATR multilingual speech-to-speech translation (S2ST) system,
which is mainly focused on translation between English and Asian languages (Japanese …

In this paper we investigate the possibility of evaluating MT quality and fluency at the
sentence level in the absence of reference translations. We measure the correlation …

EDT DISTANCE COMPUTING UN ing, on each of the sentences selected in the step of
selecting, the steps of extracting, computing and selecting, until the likelihood no longer …

Since sentences in patent texts are long, they are difficult to translate by a machine.
Although statistical machine translation is one of the major streams of the field, long patent …

Multi-parallel corpora provide a potentially rich resource for machine translation. This paper
surveys existing methods for utilizing such resources, including hypothesis ranking and …

Questions are asked and answered every day. Question answering (QA) technology aims to
deliver the same facility online. It goes further than the more familiar search based on …

This paper presents two hybrid architectures combining rulebased and statistical machine
translation (RBMT and SMT) technology. In the first case, several existing MT engines are …

This paper presents a decoder for statistical machine translation that can take advantage of
the example-based machine translation framework. The decoder presented here is based …

The paper describes a particular approach to multiengine machine translation (MEMT),
where we make use of voted language models to selectively combine translation outputs …

This paper presents example-based machine translation (MT) based on syntactic transfer,
which selects the best translation by using models of statistical machine translation …