Machine translation: a knowledge-based approach

Front Cover
Morgan Kaufmann Publishers, 1992 - Computers - 258 pages
0 Reviews
This is the first book devoted exclusively to knowledge-based machine translation. While most approaches to the machine translation for natural languages seek ways to translate source language texts into target language texts without full understanding of the text, knowledge-based machine translation is based on extracting and representing the meaning of the source text. It is scientifically the most challenging approach to the task of machine translation, and significant progress has been achieved within it in recent years.

The authors introduce the general paradigm of knowledge-based MT, survey major recent developments, compare it with other approaches and present a paradigmatic view of its component processes

From inside the book

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

Treatment of Meaning in MT Systems
41
The Concept of Interlingua
65
Lexicography and Knowledge Acquisition
95
Copyright

6 other sections not shown

Common terms and phrases

References to this book

All Book Search results »

About the author (1992)

Sergei Nirenburg is Professor of Computer Science and Electrical Engineering at University of Maryland, Baltimore County.

Bibliographic information