Machine Translation: An Introductory Guide

• Category: Computer
• Author: D. Arnold (Author), L. Balkan (Author), R. Lee Humphreys (Author), S. Meijer (Author), L. Sadler (Author)
• Pages: 200 pages
• File type: HTML, PostScript, and PDF (234 pages, 1.3 MB)

Read and download free eBook intituled Machine Translation: An Introductory Guide in format HTML, PostScript, and PDF (234 pages, 1.3 MB) – 200 pages created by D. Arnold (Author), L. Balkan (Author), R. Lee Humphreys (Author), S. Meijer (Author), L. Sadler (Author).

This introductory book looks at all aspects of Machine Translation: covering questions of what it is like to use a modern Machine Translation system, through questions about how it is done, to questions of evaluating systems, and what developments can be foreseen in the near to medium future.

It 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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Machine Translation: An Introductory Guide