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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: 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.
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