Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
Statistical Machine Translation by
Call Number: ONLINE and 234.2 Ko44
Publication Date: 2010
This introductory text to statistical machine translation (SMT) provides all of the theories and methods needed to build a statistical machine translator, such as Google Language Tools and Babelfish. [...] Based on courses and tutorials, and classroom-tested globally, it is ideal for instruction or self-study, for advanced undergraduates and graduate students in computer science and/or computational linguistics, and researchers in natural language processing.
Syntax-Based Statistical Machine Translation by
Call Number: ONLINE
Publication Date: 2016
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. [...] The heart of this book is a detailed introduction to decoding for syntax-based models.
Applied computing - Arts, Humanities
234 Arts, Humanities
234.1 Arts, Fine arts, Performing arts
234.2 Language translations, Linguistics