The Fundamentals of Human and Machine Translations PDF Download
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Author: Isaak Iosifovich Revzin
Publisher:
ISBN:
Category : Machine translating
Languages : en
Pages : 158
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Book Description
Author: Isaak Iosifovich Revzin
Publisher:
ISBN:
Category : Machine translating
Languages : en
Pages : 158
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Book Description
Author: Philipp Koehn
Publisher: Cambridge University Press
ISBN: 1108497322
Category : Computers
Languages : en
Pages : 409
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Book Description
Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.
Author: Sonia Colina
Publisher: Cambridge University Press
ISBN: 1107035392
Category : Education
Languages : en
Pages : 337
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Book Description
Clear and concise, this textbook provides a non-technical introduction to the basic theory of translation, with numerous examples and exercises.
Author: Chiew Kin Quah
Publisher: Springer
ISBN: 0230287107
Category : Language Arts & Disciplines
Languages : en
Pages : 241
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Book Description
Chiew Kin Quah draws on years of academic and professional experience to provide an account of translation technology, its applications and capabilities. Major developments from North America, Europe and Asia are described, including developments in uses and users of the technology.
Author:
Publisher:
ISBN:
Category : Information services
Languages : en
Pages : 778
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Book Description
Author:
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 760
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Book Description
Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 1016
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Book Description
Author: Jacob Eisenstein
Publisher: MIT Press
ISBN: 0262042843
Category : Computers
Languages : en
Pages : 535
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Book Description
A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.
Author:
Publisher:
ISBN:
Category : Periodicals
Languages : en
Pages : 582
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Book Description
Author: Allen Kent
Publisher:
ISBN:
Category : Information science
Languages : en
Pages : 440
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Book Description
Vol. 73: index to v. 48-72.
