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Controlled Natural Language

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Cover of 'Controlled Natural Language'

Table of Contents

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    Book Overview
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    Chapter 1 Embedded Controlled Languages
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    Chapter 2 Controlled Natural Language Processing as Answer Set Programming: An Experiment
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    Chapter 3 How Easy Is It to Learn a Controlled Natural Language for Building a Knowledge Base?
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    Chapter 4 Linguistic Analysis of Requirements of a Space Project and Their Conformity with the Recommendations Proposed by a Controlled Natural Language
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    Chapter 5 Evaluating the Fully Automatic Multi-language Translation of the Swiss Avalanche Bulletin
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    Chapter 6 Towards an Error Correction Memory to Enhance Technical Texts Authoring in LELIE
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    Chapter 7 RuleCNL: A Controlled Natural Language for Business Rule Specifications
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    Chapter 8 Toward Verbalizing Ontologies in isiZulu
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    Chapter 9 FrameNet CNL: A Knowledge Representation and Information Extraction Language
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    Chapter 10 INAUT, a Controlled Language for the French Coast Pilot Books Instructions nautiques
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    Chapter 11 Are Style Guides Controlled Languages?
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    Chapter 12 Lexpresso: A Controlled Natural Language
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    Chapter 13 A CNL for Contract-Oriented Diagrams
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    Chapter 14 Handling Non-compositionality in Multilingual CNLs
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    Chapter 15 Controlled Natural Language Generation from a Multilingual FrameNet-Based Grammar
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    Chapter 16 Architecture of a Web-Based Predictive Editor for Controlled Natural Language Processing
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    Chapter 17 Explaining Violation Traces with Finite State Natural Language Generation Models
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    Chapter 18 A Brief State of the Art of CNLs for Ontology Authoring
Attention for Chapter 16: Architecture of a Web-Based Predictive Editor for Controlled Natural Language Processing
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Chapter title
Architecture of a Web-Based Predictive Editor for Controlled Natural Language Processing
Chapter number 16
Book title
Controlled Natural Language
Published by
Springer, Cham, August 2014
DOI 10.1007/978-3-319-10223-8_16
Book ISBNs
978-3-31-910222-1, 978-3-31-910223-8
Authors

Stephen Guy, Rolf Schwitter

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 22%
Student > Master 2 22%
Student > Bachelor 1 11%
Student > Doctoral Student 1 11%
Professor 1 11%
Other 1 11%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 6 67%
Unspecified 2 22%
Unknown 1 11%