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Description du livre Etat : New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. N° de réf. du vendeur ria9783639234336_lsuk
Description du livre PF. Etat : New. N° de réf. du vendeur 6666-IUK-9783639234336
Description du livre Etat : New. N° de réf. du vendeur ABLING22Oct2817100452780
Description du livre Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Significant improvements have been achieved in machine translation (MT) over the past few years, mostly motivated by the appearance of statistical machine translation (SMT) technology, which is currently considered the best way to perform MT of natural languages. The main goal of this book is to enhance the classical SMT models, introducing syntactical knowledge in the pre-translation step by reordering the source side of the corpus. To a great extent, our interest is in the value of syntax in reordering for languages with high word order disparity. A secondary objective consists of determining the potential of different language model (LM) enhancement techniques in order to improve the performance and efficiency of SMT systems. This book should be useful for professionals in the field of Machine Translation, students, researchers, and practitioners interested in modern natural language processing technologies. 188 pp. Englisch. N° de réf. du vendeur 9783639234336
Description du livre PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9783639234336
Description du livre Kartoniert / Broschiert. Etat : New. N° de réf. du vendeur 4969590
Description du livre Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Significant improvements have been achieved in machine translation (MT) over the past few years, mostly motivated by the appearance of statistical machine translation (SMT) technology, which is currently considered the best way to perform MT of natural languages. The main goal of this book is to enhance the classical SMT models, introducing syntactical knowledge in the pre-translation step by reordering the source side of the corpus. To a great extent, our interest is in the value of syntax in reordering for languages with high word order disparity. A secondary objective consists of determining the potential of different language model (LM) enhancement techniques in order to improve the performance and efficiency of SMT systems. This book should be useful for professionals in the field of Machine Translation, students, researchers, and practitioners interested in modern natural language processing technologies. N° de réf. du vendeur 9783639234336
Description du livre PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9783639234336