Harold L. Somers

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In the last ten years there has been a significant amount ofresearch in Machine Translation within a ``new'' paradigm ofempirical approaches, often labelled collectively as``Example-based'' approaches. The first manifestation of thisapproach caused some surprise and hostility among observers moreused to different ways of working, but the techniques were(More)
This paper looks at EBMT from the perspective of the Case-based Reasoning (CBR) paradigm. We attempt to describe the task of machine translation (MT) seen as a potential application of CBR, and attempt to describe MT in standard CBR terms. The aim is to see if other applications of CBR can suggest better ways to approach EBMT.
This paper considers the popular but questionable technique of ‘round-trip translation’ (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)
This paper, accompanied by peer group commentary and author's response, is a discussion paper concerning the state of the art in Machine Translation. The current orthodoxy is first summarized, then criticized. A number of research projects based on the standard architecture are discussed: they involve the use of Artificial Intelligence techniques, advanced(More)
Five years ago, a number of papers reported an experimental implementation of an Example Based Machine Translation (EBMT) system using proportional analogy. This approach, a type of analogical learning, was attractive because of its simplicity; and the paper reported considerable success with the method using various language pairs. In this paper, we(More)
An Introduction to Machine Translation covers the linguistic and computational technology of machine translation and gives a basic survey of relevant systems and research projects. It starts systematically with linguistics and the problematic aspects of understanding languages, and continues with accepted computational techniques for analyzing language. The(More)
This paper concerns the methods of evaluation of a computational translator’s aid known as a Translation Memory (TM). A typical TM system selects candidate translations into a target language by obtaining matches to an input source-language sentence from a database comprising source–target pairs of previously translated sentences. We describe a metric for(More)