Titlebook: Recent Advances in Example-Based Machine Translation; Michael Carl,Andy Way Book 2003 Kluwer Academic Publishers 2003 EBMT.algorithms.case

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Book 2003specially Example-Based Machine Translation, bilingual text processing and cross-linguistic information retrieval. It is also of interest to translation technologists and localisation professionals...Recent Advances in Example-Based Machine Translation. fills a void, because it is the first book to

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A Best-First Alignment Algorithm for Automatic Extraction of Transfer Mappings from Bilingua Corpora to significantly improve the quality of the mappings extracted. For each mapping, frequencies are computed and sufficient context is retained to distinguish competing mappings during translation. Variants of the algorithm are run against a corpus containing 200K sentence pairs and evaluated based on the quality of resulting translations.

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An Overview of EBMTis paper reviews the various research efforts within this paradigm reported to date, and attempts a categorisation of different manifestations of the general approach. This paper first appeared in 1999 in ..:113-157. It has been updated with a small number of revisions, and references to more recent work.

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What is Example-Based Machine Translation?proaches to Machine Translation. We make a proposal for translation knowledge bases that make such an overlap explicit. We relate our proposal to translation by analogy, which stands out as an inherently example-based technique.

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EBMT in a Controlled Environment into a hybrid and/or multi-engine MT environment, the PL will yield significant improvements in translation quality. We establish a future model of translation usage and anticipate that EBMT and the PL will have a central place in future hybrid integrated translation platforms.

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Clustered Transfer Rule Induction for Example-Based Translationn of these two approaches to further increase the coverage (or conversely, decrease the required training text) of an EBMT system. Preliminary results show that a reduction in required training text by a factor of twelve is possible for translation from French into English.

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An Overview of EBMTs, 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 were quickly adopted and adapted by many researchers, often creating hybrid systems. Th

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What is Example-Based Machine Translation?dge it uses. From this perspective, we argue that Example-Based Machine Translation is sometimes characterized in terms of nonessential features. We show that Example-Based Machine Translation, as long as it is linguistically principled, significantly overlaps with other linguistically principled ap