Logo

Machine Translation: an Introductory Guide

Small book cover: Machine Translation: an Introductory Guide

Machine Translation: an Introductory Guide
by

Publisher: Blackwell Pub
ISBN/ASIN: 185554217X
ISBN-13: 9781855542174
Number of pages: 200

Description:
This introductory book looks at all aspects of Machine Translation: covering questions of what it is like to use a modern Machine Translation system, through questions about how it is done, to questions of evaluating systems, and what developments can be foreseen in the near to medium future.

Home page url

Download or read it online for free here:
Download link
(multiple formats)

Similar books

Book cover: A Maximum Entropy Approach to Natural Language ProcessingA Maximum Entropy Approach to Natural Language Processing
by - Association for Computational Linguistics
The authors describe a method for statistical modeling based on maximum entropy. They present a maximum-likelihood approach for automatically constructing maximum entropy models and describe how to implement this approach efficiently.
(12037 views)
Book cover: Formal Language Theory for Natural Language ProcessingFormal Language Theory for Natural Language Processing
by - ESSLLI
This text is a mild introduction to Formal Language Theory for students with little or no background in formal systems. The motivation is Natural Language Processing, and the presentation is geared towards NLP applications, with extensive examples.
(12368 views)
Book cover: Natural Language Processing for the Working ProgrammerNatural Language Processing for the Working Programmer
by
We will go into many of the techniques that so-called computational linguists use to analyze the structure of human language, and transform it into a form that computers work with. We chose Haskell as the main programming language for this book.
(18025 views)
Book cover: Stochastic Attribute-Value GrammarsStochastic Attribute-Value Grammars
by - ESSLLI
This text provides an introduction to the maximum entropy principle and the construction of maximum entropy models for natural language processing. We investigate the implementation of maximum entropy models for attribute-value grammars.
(10571 views)