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Learning Machine Translation

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    Default Learning Machine Translation


    Re uploaded by DE on 21-NOV-15

    The Internet gives us access to a wealth of information in languages we don't understand. The investigation of automated or semi-automated approaches to translation has become a thriving research field with enormous commercial potential. This volume investigates how machine learning techniques can improve statistical machine translation, currently at the forefront of research in the field.

    The book looks first at enabling technologies—technologies that solve problems that are not machine translation proper but are linked closely to the development of a machine translation system. These include the acquisition of bilingual sentence-aligned data from comparable corpora, automatic construction of multilingual name dictionaries, and word alignment. The book then presents new or improved statistical machine translation techniques, including a discriminative training framework for leveraging syntactic information, the use of semi-supervised and kernel-based learning methods, and the combination of multiple machine translation outputs in order to improve overall translation quality.

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    Last edited by deutsch3000; 11-21-2015 at 06:23 PM. Reason: Re uploaded

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    Default Re: Learning Machine Translation

    Machine translation was once considered a realistic, achievable, desirable, and very high-profile goal for computing. A huge amount of resources and scholarship were thrown at the problem, and you can all see where we're at. Frankly, I'm surprised it is as good as it is.


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