PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A Statistical Machine Translation Primer
Nicola Cancedda, Marc Dymetman, George Foster and Cyril Goutte
In: Learning Machine Translation (2009) MIT Press , Cambridge, Massachusetts, USA , pp. 1-37.


This first chapter is a short introduction to the main aspects of statistical machine translation (SMT). In particular, we cover the issues of automatic evaluation of machine translation output, language modelling, word-based and phrased-based translation models, and the use of syntax in machine translation. We will also do a quick roundup of some more recent directions that we believe may gain importance in the future. We put this in the general context of Machine Learning research, and put the emphasis on similarities and differences with standard machine learning problems and practice.

EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:4234
Deposited By:Nicola Cancedda
Deposited On:19 December 2008