Neural Machine Translation
by:Philipp Koehn
pages 页数:200 pages
Publisher Finelybook 出版社:Cambridge University Press (30 Jun. 2020)
Language 语言:English
ISBN-10 书号:1108497322
ISBN-13 书号:9781108497329
Book Description
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.下载地址:
Neural Machine Translation 9781108497329.pdf
Neural Machine Translation
未经允许不得转载:finelybook » Neural Machine Translation
相关推荐
- Machine Learning and the City: Applications in Architecture and Urban Design
- Current State of Art in Artificial Intelligence and Ubiquitous Cities
- Applied Affective Computing
- Circuits, Packets, and Protocols: Entrepreneurs and Computer Communications, 1968-1988
- Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering
- Theories of Programming: The Life and Works of Tony Hoare