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Efficient Parsing for Natural Language - A Fast Algorithm for Practical Systems (Hardcover, 1986 ed.)
Loot Price: R2,915
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Efficient Parsing for Natural Language - A Fast Algorithm for Practical Systems (Hardcover, 1986 ed.)
Series: The Springer International Series in Engineering and Computer Science, 8
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Parsing Efficiency is crucial when building practical natural
language systems. 'Ibis is especially the case for interactive
systems such as natural language database access, interfaces to
expert systems and interactive machine translation. Despite its
importance, parsing efficiency has received little attention in the
area of natural language processing. In the areas of compiler
design and theoretical computer science, on the other hand, parsing
algorithms 3 have been evaluated primarily in terms of the
theoretical worst case analysis (e.g. lXn", and very few practical
comparisons have been made. This book introduces a context-free
parsing algorithm that parses natural language more efficiently
than any other existing parsing algorithms in practice. Its
feasibility for use in practical systems is being proven in its
application to Japanese language interface at Carnegie Group Inc.,
and to the continuous speech recognition project at Carnegie-Mellon
University. This work was done while I was pursuing a Ph.D degree
at Carnegie-Mellon University. My advisers, Herb Simon and Jaime
Carbonell, deserve many thanks for their unfailing support, advice
and encouragement during my graduate studies. I would like to thank
Phil Hayes and Ralph Grishman for their helpful comments and
criticism that in many ways improved the quality of this book. I
wish also to thank Steven Brooks for insightful comments on
theoretical aspects of the book (chapter 4, appendices A, B and C),
and Rich Thomason for improving the linguistic part of tile book
(the very beginning of section 1.1).
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