Machine Translation: An Introductory Guide (Doug Arnold, et al)

 
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Machine Translation: An Introductory Guide (Doug Arnold, et al)

This introductory book examines all facets of machine translation, including how it works, how it is done, how to evaluate systems, and what trends can be expected in the short- to medium-term future.

It also covers concerns regarding what it is like to utilize a contemporary machine translation system.

Then, it presents new or enhanced statistical machine translation methods, such as a discriminative training framework for utilizing syntactic data, the application of semi-supervised and kernel-based learning techniques, and the synthesis of multiple machine translation outputs to enhance overall translation quality.

Ebook Details

Publisher
Published
Published Date / Year
(January 1994)
Hardcover
200 pages
eBook Format
HTML, PostScript, and PDF (234 pages, 1.3 MB)
Language
English
ISBN-10
185554217X
ISBN-13
978-1855542174

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