Software Quality Analysis: machine

Sunday, July 25, 2010

Sharing CAT memories: numbers as words as songs.(Fully Automatic High Quality Machine Translation): An article from: Academic Exchange Quarterly

Sharing CAT memories: numbers as words as songs.(Fully Automatic High Quality Machine Translation): An article from: Academic Exchange Quarterly Review

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Sharing CAT memories: numbers as words as songs.(Fully Automatic High Quality Machine Translation): An article from: Academic Exchange Quarterly Feature

This digital document is an article from Academic Exchange Quarterly, published by Thomson Gale on March 22, 2006. The length of the article is 3854 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

Citation Details
Title: Sharing CAT memories: numbers as words as songs.(Fully Automatic High Quality Machine Translation)
Author: Jose Davila-Montes
Publication: Academic Exchange Quarterly (Magazine/Journal)
Date: March 22, 2006
Publisher: Thomson Gale
Volume: 10 Issue: 1 Page: 164(6)

Distributed by Thomson Gale

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Friday, March 19, 2010

Machine Learning Applications In Software Engineering (Series on Software Engineering and Knowledge Engineering)

Machine Learning Applications In Software Engineering (Series on Software Engineering and Knowledge Engineering) Review

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Machine Learning Applications In Software Engineering (Series on Software Engineering and Knowledge Engineering) Feature

Machine learning deals with the issue of how to build computer programs that improve their performance at some tasks through experience. Machine learning algorithms have proven to be of great practical value in a variety of application domains. Not surprisingly, the field of software engineering turns out to be a fertile ground where many software development and maintenance tasks could be formulated as learning problems and approached in terms of learning algorithms. This book deals with the subject of machine learning applications in software engineering. It provides an overview of machine learning, summarizes the state-of-the-practice in this niche area, gives a classification of the existing work, and offers some application guidelines. Also included in the book is a collection of previously published papers in this research area.