Bróna Collins

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The sign languages used by deaf communities around the world represent a linguistic challenge that natural language researchers in A.I. have only recently begun to take up. This challenge is particularly relevant to research in Machine Translation, as natural sign languagessuch as ISL (Ireland), BSL (Britain) and ASL (U.S.A.)have evolved in deaf(More)
In this paper we describe a methodological analysis of EBMT (Example-based Machine Translation) based on a CBR (Case-Based Reasoning) perspective. This analysis focuses on adaptation. We argue that, just as in CBR, the overall power of an EBMT system is its ability to adapt examples retrieved to suit the new problem translation. Here we describe a technique(More)
In this paper we describe a methodological analysis of EBMT (Example-Based Machine Translation) based on a CBR (Case-Based Reasoning) perspective. This analysis focuses on adaptation. We argue that, just as in CBR, the overall power of an EBMT system is its ability to adapt examples retrieved to suit the new problem translation. Here we describe a technique(More)
The sign languages used by deaf communities around the world represent a linguistic challenge that natural language researchers in A.I. have only recently begun to take up. ZARDOZ is a system which tackles the cross-modal machine-translation problem, translating speech and text into fluid sign language. This paper presents an architectural overview of(More)
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