Get Free Ebook Machine TranslationBy Pushpak Bhattacharyya

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Machine TranslationBy Pushpak Bhattacharyya

Get Free Ebook Machine TranslationBy Pushpak Bhattacharyya

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Three paradigms have dominated machine translation (MT)―rule-based machine translation (RBMT), statistical machine translation (SMT), and example-based machine translation (EBMT). These paradigms differ in the way they handle the three fundamental processes in MT―analysis, transfer, and generation (ATG). In its pure form, RBMT uses rules, while SMT uses data. EBMT tries a combination―data supplies translation parts that rules recombine to produce translation.

Machine Translation compares and contrasts the salient principles and practices of RBMT, SMT, and EBMT. Offering an exposition of language phenomena followed by modeling and experimentation, the text:

• Introduces MT against the backdrop of language divergence and the Vauquois triangle
• Presents expectation maximization (EM)-based word alignment as a turning point in the history of MT
• Discusses the most important element of SMT―bilingual word alignment from pairs of parallel translations
• Explores the IBM models of MT, explaining how to find the best alignment given a translation pair and how to find the best translation given a new input sentence
• Covers the mathematics of phrase-based SMT, phrase-based decoding, and the Moses SMT environment
• Provides complete walk-throughs of the working of interlingua-based and transfer-based RBMT
• Analyzes EBMT, showing how translation parts can be extracted and recombined to translate a new input, all automatically
• Includes numerous examples that illustrate universal translation phenomena through the usage of specific languages

Machine Translation is designed for advanced undergraduate-level and graduate-level courses in machine translation and natural language processing. The book also makes a handy professional reference for computer engineers.

• Sales Rank: #2150120 in Books
• Published on: 2015-01-13
• Original language: English
• Number of items: 1
• Dimensions: 9.30" h x .80" w x 6.20" l, .0 pounds
• Binding: Hardcover
• 260 pages

Review

"…a clear, well-written introduction to a key area in computer science."
―Ernest Davis, in Computing Reviews

About the Author

Pushpak Bhattacharyya is Vijay and Sita Vashee chair professor of computer science and engineering at the Indian Institute of Technology (IIT) Bombay, where he has been teaching and researching for the last 25 years. He was educated at IIT Kharagpur (B.Tech), IIT Kanpur (M.Tech), and IIT Bombay (Ph.D). While earning his Ph.D, he was visiting scholar at the Massachusetts Institute of Technology. Subsequently, he has been visiting professor at Stanford University and University of Grenoble, and distinguished lecturer at the University of Houston. Dr. Bhattacharyya’s research interests include natural language processing, machine learning, machine translation, information extraction, sentiment analysis, and cross-lingual search, in which he has published extensively. Currently, he is associate editor of ACM Transactions on Asian Language Information Processing and vice president-elect of Association of Computational Linguistics (ACL).

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Download PDF Molecular Embryology: How Molecules Give Birth to AnimalsBy Michael J. Barry

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Molecular Embryology explains in simple terms the molecular interactions that transform an egg to a complex embryo that in the end gives rise to a fully-formed animal. In doing so, the book covers one hundred and fifty years of experiments that have led to our present understanding of these molecular interactions. As the text progresses, the reader will gain a sense of the developmental similarities and differences between organisms. Students studying developmental biology and embryology will find this book an extremely useful introduction to the subject and will also appeal to anyone with an interest in the most recent advances in this largely undiscovered territory.

• Sales Rank: #3020548 in Books
• Published on: 2002-03-24
• Original language: English
• Number of items: 1
• Dimensions: 9.00" h x 6.25" w x .50" l, .65 pounds
• Binding: Paperback
• 212 pages

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