Ai Semantics

Masaru Tomita's Efficient Parsing for Natural Language: A Fast Algorithm for PDF

By Masaru Tomita

ISBN-10: 0898382025

ISBN-13: 9780898382020

ISBN-10: 1441951989

ISBN-13: 9781441951984

Parsing potency is important whilst development sensible common language platforms. 'Ibis is principally the case for interactive structures similar to traditional language database entry, interfaces to professional structures and interactive computer translation. regardless of its value, parsing potency has got little consciousness within the region of ordinary language processing. within the parts of compiler layout and theoretical desktop technology, nevertheless, parsing algorithms three were evaluated basically by way of the theoretical worst case research (e.g. lXn», and extremely few sensible comparisons were made. This booklet introduces a context-free parsing set of rules that parses average language extra successfully than the other present parsing algorithms in perform. Its feasibility to be used in useful platforms is being confirmed in its software to jap language interface at Carnegie staff Inc., and to the continual speech attractiveness venture at Carnegie-Mellon collage. This paintings was once performed whereas i used to be pursuing a Ph.D measure at Carnegie-Mellon collage. My advisers, Herb Simon and Jaime Carbonell, deserve many thank you for his or her unfailing aid, recommendation and encouragement in the course of my graduate reviews. i need to thank Phil Hayes and Ralph Grishman for his or her important reviews and feedback that during many ways more desirable the standard of this booklet. I want additionally to thank Steven Brooks for insightful reviews on theoretical points of the e-book (chapter four, appendices A, B and C), and wealthy Thomason for making improvements to the linguistic a part of tile booklet (the very starting of part 1.1).

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Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems (The Springer International Series in Engineering and Computer Science) by Masaru Tomita

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