In this paper, we tackle the problem of domain adaptation of statistical machine translation (SMT) by exploiting domain-specific data acquired by domain-focused crawling of text from the World Wide Web. We design and empirically evaluate a procedure for automatic acquis...

With the increasing popularity of mobile and hand-held devices, automatic approaches for adapting results to the limited screen size of mobile devices are becoming more important. Traditional approaches for reducing the length of textual results include summarisation an...

Objective: We investigate machine translation (MT) of user search queries in the context of cross-lingual information retrieval (IR) in the medical domain. The main focus is on techniques to adapt MT to increase translation quality; however, we also explore MT adaptatio...

We use referential translation machines (RTM) for quality estimation of translation outputs. RTMs are a computational model for identifying the translation acts between any two data sets with respect to interpretants selected in the same domain, which are effective when...

Freely available audiobooks are a rich resource of expressive speech recordings that can be used for the purposes of speech synthesis. Natural sounding, expressive synthetic voices have previously been built from audiobooks that contained large amounts of highly express...

Term translation is of great importance for machine translation. In this article, we investigate three issues of term translation in the context of statistical machine translation and propose three corresponding models: (a) a term translation disambiguation model which ...

Bilingual termbanks are important for many natural language processing applications, especially in translation workflows in industrial settings. In this paper, we apply a log-likelihood comparison method to extract monolingual terminology from the source and target side...

In the emerging eld of speech-to-speech translation, empha- sis is currently placed on the linguistic content, while the sig- ni cance of paralinguistic information conveyed by facial ex- pression or tone of voice is typically neglected. We present a prototype system fo...