
Statistical Machine Translation
Sign in to keep track of books you’ve read and want to read.
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. In general, statistical techniques allow automatic translation systems to be built quickly for any language-pair using only translated texts and generic software. With increasing globalization, statistical machine translation will be central to communication and commerce. 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. The companion website provides open-source corpora and tool-kits.
Liked Statistical Machine Translation? Here’s where I’d start.
These suit anyone who liked Statistical Machine Translation. Sign in and mark a few books for picks shaped around your own taste.
-
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition Shares linguistics, computer science, nlp -
Foundations of Statistical Natural Language Processing Shares computer science, linguistics, nlp -
Natural Language Annotation for Machine Learning Shares nlp, linguistics, computer science -
Modern Information Retrieval Shares computer science, nlp