A survey of research on text simplification

@article{Siddharthan2014ASO,
  title={A survey of research on text simplification},
  author={Advaith Siddharthan},
  journal={ITL – International Journal of Applied Linguistics},
  year={2014},
  volume={165},
  pages={259-298}
}
  • Advaith Siddharthan
  • Published 2014
  • Computer Science
  • ITL – International Journal of Applied Linguistics
Text simplification, defined narrowly, is the process of reducing the linguistic complexity of a text, while still retaining the original information and meaning. More broadly, text simplification encompasses other operations; for example, conceptual simplification to simplify content as well as form, elaborative modification, where redundancy and explicitness are used to emphasise key points, and text summarisation to omit peripheral or inappropriate information. There is substantial evidence… 
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Despite being a finer-grained approach, due to the lack of theoretical and empirical data, ATS still struggles to identify all linguistic characteristics that should be simplified.
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A model for automatic text simplification by splitting the longer sentences from a given text has been presented, aimed at simplification so as to enhance accessibility of text and its comprehension by learning disabled children.
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Four methods are used to simplify a corpus of news articles in English: a rule-based method, an optimization method, a supervised deep learning model and an unsupervisedDeep learning model, which suggests sentence compression with restrictions and models learned from large parallel corpora tend to perform better and yield gains over summarization without prior simplification.
A Syntax-Aware Edit-based System for Text Simplification
TLDR
This paper proposes to add syntactic information into a well known edit-based system with a graph convolutional network module that mimics the dependency structure of the sentence, thus giving the model an explicit representation of syntax.
Automated Text Simplification
TLDR
This survey presents an extensive study of current research studies in the field of TS, as well as covering resources, corpora, and evaluation methods that have been used in those studies.
Lexical simplification: optimising the pipeline
TLDR
It is found that in this small-scale preliminary study, lexical simplification has a nega- tive effect, causing reading time to increase, and is sought to further the field of lexical Simplification as an assistive technology.
HTSS: A novel hybrid text summarisation and simplification architecture
TLDR
This work extends the well-known pointer generator model for the combined task of summarisation and simplification using a novel hybrid architecture of abstractive and extractive summarisation called HTSS and shows that the model outperforms NTS and ATS on the joint task of simplification and summarisation.
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References

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A prototype for automatic simplification is presented, which shows that the most important structural simplification operations can be successfully treated with an approach based on rules which can potentially be improved by statistical methods.
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TLDR
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