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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

A Survey of Automated Text Simplification

Author 1: Matthew Shardlow

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Digital Object Identifier (DOI) : 10.14569/SpecialIssue.2014.040109

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Natural Language Processing 2014, 2014.

  • Abstract and Keywords
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Abstract: Text simplification modifies syntax and lexicon to improve the understandability of language for an end user. This survey identifies and classifies simplification research within the period 1998-2013. Simplification can be used for many applications, including: Second language learners, preprocessing in pipelines and assistive technology. There are many approaches to the simplification task, including: lexical, syntactic, statistical machine translation and hybrid techniques. This survey also explores the current challenges which this field faces. Text simplification is a non-trivial task which is rapidly growing into its own field. This survey gives an overview of contemporary research whilst taking into account the history that has brought text simplification to its current state.

Keywords: Text Simplification, Lexical Simplification, Syntactic; NLP Simplification

Matthew Shardlow, “A Survey of Automated Text Simplification” International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Natural Language Processing 2014, 2014. http://dx.doi.org/10.14569/SpecialIssue.2014.040109

@article{Shardlow2014,
title = {A Survey of Automated Text Simplification},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Natural Language Processing 2014}
doi = {10.14569/SpecialIssue.2014.040109},
url = {http://dx.doi.org/10.14569/SpecialIssue.2014.040109},
year = {2014},
publisher = {The Science and Information Organization},
volume = {4},
number = {1},
author = {Matthew Shardlow},
}


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