Remote interpreting, whereby the interpreter is physically separated from those who need the interpretation, has been investigated in relation to conference and healthcare settings. By contrast, very little is known about remote interpreting in legal proceedings, where this method of interpreting is increasingly used to optimise interpreters‟ availability. This paper reports the findings of an ...

This paper provides an investigation of simultaneous interpreting patterns using a bilingual spoken monologue corpus. 4,578 pairs of English-Japanese aligned utterances in CIAIR simultaneous interpretation database were used. This investigation is the largest scale as the observation of simultaneous interpreting speech. The simultaneous interpreters are required to generate the target speech si...

This paper used medical interpreting as an example to examine the recent attention to the communicative nature of translation and interpretation. In presenting the historical development of community interpreting, I examined the reasons why the communicative aspect of translation and interpretation has been ignored in the traditional translation studies. The recent research on community interpr...

Content: Evolutionary Trees Evolutionary tree diagrams are branching diagrams (dendrograms) that depict the phylogenetic relationships between taxa based on shared derived characters (synapomorphies) that reflect common ancestry. Phylogenies depict an historical pattern of divergence and descent as series of branches; these branches merge at points representing common ancestry, which in turn ar...

We describe a new paradigm in which a user can produce a wide range of expressive, natural-looking movements of animated characters by specifying their manners and attitudes with natural language verbs and adverbs. A natural language interpreter, a Parameterized Action Representation (PAR), and an expressive motion engine (EMOTE) are designed to bridge the gap between natural language instructi...

Knowledge-based question-answering systems have become quite competent and robust at answering a wide range of questions in different domains, however in order to ask questions correctly, one needs to have intimate knowledge of the structure of the knowledge base, and typical users lack this knowledge. We address this problem by developing a system that uses the content of the knowledge base to...