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J the cognitive and brain sciences community online "MIT CogNet is an important new venture that brings together many different resources for the cognitive and brain sciences. By bringing information directly to researchers and students and allowing rapid dissemination of important new research directions, CogNet bypasses the slow and expensive efforts in(More)
In the last ten years there has been a significant amount of research in Machine Translation within a " new " paradigm of empirical approaches, often labelled collectively as " Example-based " approaches. The first manifestation of this approach caused some surprise and hostility among observers more used to different ways of working, but the techniques(More)
In recent years data-driven methods of machine translation (MT) have overtaken rule-based approaches as the predominant means of automatically translating between languages. A prerequisite for such an approach is a parallel corpus of the source and target languages. Technological developments in sign language (SL) capturing, analysis and processing tools(More)
In a recent paper published in this journal (Covington 1996), an algorithm is described which aligns segments within a pair of words for the purpose of identifying historical cognates. This algorithm could have a further application in the field of speech therapy, and in particular in the practice of articulation assessment of young children. The present(More)
This paper considers the popular but questionable technique of 'round-trip transla-tion' (RTT) as a means of evaluating free on-line Machine Translation systems. Two experiments are reported, both relating to common requirements of lay-users of MT on the web. In the first we see whether RTT can accurately predict the overall quality of the MT system. In the(More)