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Download Machine Translation: From Real Users to Research: 6th by Robert E. Frederking, Kathryn B. Taylor PDF

By Robert E. Frederking, Kathryn B. Taylor

The former convention during this sequence (AMTA 2002) took up the subject “From study to actual Users”, and sought to discover why contemporary learn on data-driven laptop translation didn’t appear to be relocating to undefined. because it grew to become out, the ?rst advertisement items of the data-driven examine stream have been simply over the horizon, andintheinterveningtwoyearstheyhavebeguntoappearinthemarketplace. Atthesame time,rule-basedmachinetranslationsystemsareintroducingdata-driventechniquesinto the combo of their items. computer translation as a software program program has a 50-year historical past. There are progressively more intriguing deployments of MT, a lot of with the intention to be exhibited and mentioned on the convention. however the scale of business use hasn't ever approached the estimates of the latent call for. In gentle of this, we reversed the query from AMTA 2002, to examine the next move within the route to advertisement good fortune for MT. We took consumer wishes as our topic, and explored how or no matter if industry standards are feeding into examine courses. The transition of study discoveries to sensible use consists of te- nicalquestionsthatarenotassexyasthosethathavedriventheresearchcommunityand study investment. very important product matters akin to procedure customizability, computing source requisites, and value and ?tness for specific initiatives have to interact the creativeenergiesofallpartsofourcommunity,especiallyresearch,aswemovemachine translation from a distinct segment software to a extra pervasive language conversion procedure. Thesetopicswereaddressedattheconferencethroughthepaperscontainedinthesep- ceedings, or even extra speci?cally via a number of invited shows and panels.

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Additional info for Machine Translation: From Real Users to Research: 6th Conference of the Association for Machine Translation in the Americas, AMTA 2004, Washington, DC, ...

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Furthermore, they do not show as many language ambiguities and complex structures as those of general-purpose documents. Both vocabulary and grammar are thus easier to control. The biggest differences that we have observed between the medical protocols usually concern the choices of words or styles employed by different authors. This is also where jargon and dialect-like sentences Designing a Controlled Language for the Machine Translation of Medical Protocols 39 are encountered. These differences produce problems both at the vocabulary level and the grammatical level.

2. For to N – 1, form row of M by rotating T left by places as in Figure 1. 3. Sort the rows of M lexically, remembering where each row of the sorted result originated, to form (Figure 2). 4. Due to the manner in which M was constructed, columns 1 through N – 1 of can be reconstructed from column 0 by providing a pointer from each row to the row which had been immediately below it prior to sorting. This vector of successor pointers is conventionally called V. 5. Since the first column of now consists entirely of runs of equal elements in lexicographic order (at most one run per member of the alphabet one can discard column 0 and represent it by an array C of size which contains the first row in containing each member of the alphabet.

Furthermore, current NLP technology is still immature and cannot recognize and solve these problems. Thus phenomena such as ambiguity and the very complexity of natural language inevitably become the very problems that hinder the development of NLP, and are the most difficult predicament faced by NLP researchers. Since the 1960s, controlled language has been applied in NLP research. Numerous experiments have shown that the characteristics of controlled language can reduce the complexity of natural language if the controlled language is well designed and correctly employed.

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