Koehn philipp (45 risultati)

Hardcover. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Condizione: Good. Exact ISBN match. Immediate shipping. No funny business.

Hardcover. First Edition, First Printing. Octavo, 433 pages. In Very Good minus condition. Blue and yellow spine with yellow and blue text. Boards have bumping to corners and spine edges. Textblock clean. Shelved ND-E. 1377229. FP New Rockville Stock.

hardcover. Condizione: Fair.

hardcover. Condizione: Acceptable. Pages include notes, underlining, or highlighting.

Condizione: New.

Softcover/Paperback. Condizione: New. No Jacket. First Edition. A digital text - this copy printed in the UK. Quarto-size, 212 pages (xvii, 194), diagrams, charts &c, bibliography, index; publisher's pictorial card covers: New and unread. Pictures show this actual book.

Hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condizione: New. In English.

Condizione: New. 1st edition NO-PA16APR2015-KAP.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: As New. 1st Edition. minor edge and corner cover wear. in great unread condition.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This unique book provides a comprehensive introduction to the most popular syntax-based statistical machine translation models, filling a gap in the current literature for researchers and developers in human language technologies. While phrase-based models have previously dominated the field, syntax-based approaches have proved a popular alternative, as they elegantly solve many of the shortcomings of phrase-based models. The heart of this book is a detailed introduction to decoding for syntax-based models. The book begins with an overview of synchronous-context free grammar (SCFG) and synchronous tree-substitution grammar (STSG) along with their associated statistical models. It also describes how three popular instantiations (Hiero, SAMT, and GHKM) are learned from parallel corpora. It introduces and details hypergraphs and associated general algorithms, as well as algorithms for decoding with both tree and string input. Special attention is given to efficiency, includingsearch approximations such as beam search and cube pruning, data structures, and parsing algorithms. The book consistently highlights the strengths (and limitations) of syntax-based approaches, including their ability to generalize phrase-based translation units, their modeling of specific linguistic phenomena, and their function of structuring the search space.…

Condizione: New. In.

Condizione: New.

Condizione: New. In.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. 2020. Hardcover. . . . . .

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. 2020. Hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Condizione: Brand New. 393 pages. 9.75x7.00x1.00 inches. In Stock.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications. Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation systems. The book also provides extensive coverage of machine learning tricks, issues involved in handling various forms of data, model enhancements, and current challenges and methods for analysis and visualization. Summaries of the current research in the field make this a state-of-the-art textbook for undergraduate and graduate classes, as well as an essential reference for researchers and developers interested in other applications of neural methods in the broader field of human language processing.…

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation.…

Hardcover. Condizione: Brand New. 1st edition. 433 pages. 9.75x7.00x0.75 inches. In Stock.