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Automatic text simplification

Author: Horacio Saggion
Publisher: [San Rafael, California] : Morgan & Claypool Publishers, [2017] ©2017
Series: Synthesis lectures on human language technologies, #32.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Thanks to the availability of texts on the Web in recent years, increased knowledge and information have been made available to broader audiences. However, the way in which a text is written-- its vocabulary, its syntax--can be difficult to read and understand for many people, especially those with poor literacy, cognitive or linguistic impairment, or those with limited knowledge of the language of the text. Texts  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Saggion, Horacio.
Automatic text simplification.
[Place of publication not identified] : Morgan & Claypool Publishers, c2017
xv, 121 pages
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Horacio Saggion
ISBN: 9781627058698 1627058699 1627058680 9781627058681
OCLC Number: 987459306
Description: 1 online resource (xv, 121 pages) : illustrations.
Contents: 1. Introduction --
1.1 Text simplification tasks --
1.2 How are texts simplified? --
1.3 The need for text simplification --
1.4 Easy-to-read material on the web --
1.5 Structure of the book 2. Readability and text simplification --
2.1 Introduction --
2.2 Readability formulas --
2.3 Advanced natural language processing for readability assessment --
2.3.1 Language models --
2.3.2 Readability as classification --
2.3.3 Discourse, semantics, and cohesion in assessing readability --
2.4 Readability on the web --
2.5 Are classic readability formulas correlated? --
2.6 Sentence-level readability assessment --
2.7 Readability and autism --
2.8 Conclusion --
2.9 Further reading 3. Lexical simplification --
3.1 A first approach --
3.2 Lexical simplification in LexSiS --
3.3 Assessing word difficulty --
3.4 Using comparable corpora --
3.4.1 Using simple English Wikipedia edit history --
3.4.2 Using Wikipedia and simple Wikipedia --
3.5 Language modeling for lexical simplification --
3.6 Lexical simplification challenge --
3.7 Simplifying numerical expressions in text --
3.8 Conclusion --
3.9 Further reading 4. Syntactic simplification --
4.1 First steps in syntactic simplification --
4.2 Syntactic simplification and cohesion --
4.3 Rule-based syntactic simplification using syntactic dependencies --
4.4 Pattern matching over dependencies with JAPE --
4.5 Simplifying complex sentences by extracting key events --
4.6 Conclusion --
4.7 Further reading 5. Learning to simplify --
5.1 Simplification as translation --
5.1.1 Learning simple English --
5.1.2 Facing strong simplifications --
5.2 Learning sentence transformations --
5.3 Optimizing rule application --
5.4 Learning from a semantic representation --
5.5 Conclusion --
5.6 Further reading 6. Full text simplification systems --
6.1 Text simplification in PSET --
6.2 Text simplification in Simplext --
6.2.1 Rule-based "Lexical" simplification --
6.2.2 Computational grammars for simplification --
6.2.3 Evaluating Simplext --
6.3 Text simplification in PorSimples --
6.3.1 An authoring tool with simplification capabilities --
6.4 Conclusion --
6.5 Further reading 7. Applications of automatic text simplification --
7.1 Simplification for specific target populations --
7.1.1 Automatic text simplification for reading assistance --
7.1.2 Simplification for dyslexic readers --
7.1.3 Simplification-related techniques for people with autism spectrum disorder --
7.1.4 Natural language generation for poor readers --
7.2 Text simplification as NLP facilitator --
7.2.1 Simplification for parsing --
7.2.2 Simplification for information extraction --
7.2.3 Simplification in and for text summarization --
7.2.4 Simplifying medical literature --
7.2.5 Retrieving facts from simplified sentences --
7.2.6 Simplifying patent documents --
7.3 Conclusion --
7.4 Further reading 8. Text simplification resources and evaluation --
8.1 Lexical resources for simplification applications --
8.2 Lexical simplification resources --
8.3 Corpora --
8.4 Non-English text simplification datasets --
8.5 Evaluation --
8.6 Toward automatically measuring the quality of simplified output --
8.7 Conclusion --
8.8 Further reading 9. Conclusion --
Bibliography --
Author's biography.
Series Title: Synthesis lectures on human language technologies, #32.
Responsibility: Horacio Saggion.
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Abstract:

Presents research in text simplification, exploring key issues, including automatic readability assessment, lexical simplification, and syntactic simplification. It provides a detailed account of  Read more...

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