Automated Inversion of an Unification Parser Into an Unification Generator

Language: English

Published by Forgotten Books, 2018

1333915152 / 9781333915155

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Seller: Forgotten Books, London, United KingdomForgotten Books

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Print on Demand. This book presents an innovative approach to automating the process of generating natural language from a given structure. The author introduces a novel algorithm that can reverse a Prolog parser program into an efficient generator, preserving its linguistic knowledge and capabilities. The algorithm addresses the challenges of reversibility, such as identifying essential arguments and reordering literals on the clause right-hand side. By providing a detailed explanation of the algorithm, the book empowers readers to understand and apply this technique in their own natural language processing projects. Through practical examples and in-depth analysis, the book not only offers a valuable tool for automating language generation but also enhances our understanding of the fundamental principles underlying natural language processing and computational linguistics. Its insights contribute to the ongoing exploration of efficient and effective methods for natural language generation, opening up new possibilities for advancing human-computer interaction and natural language-based applications. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.

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Title
Automated Inversion of an Unification Parser Into an Unification Generator
Author
Tomek Strzalkowski
Publisher
Forgotten Books
Publication year
2018
Condition
New
Book Type
print-on-demand item
Binding
Paperback
Language
English
ISBN 10
1333915152
ISBN 13
9781333915155
Seller catalogs
English Language

Forgotten Books

London, United Kingdom

5-star seller

AbeBooks seller since June 2, 2021

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Forgotten Books’ Classic Reprint Series utilizes the latest technology to regenerate facsimiles of historically important writings. Careful attention has been made to accurately preserve the original format of each page whilst digitally enhancing the quality of the aged text.

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FB &c Ltd

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