A Survey of Automated Text Simplification

Matthew Shardlow

216 citations0/0 files storedInternational Journal of Advanced Computer Science and Applications

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Text Readability and Simplification Natural Language Processing Techniques Advanced Text Analysis Techniques

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.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 216 citations exist upstream.

References

1975Derivation of New Readability Formulas (Automated Readability Index, Fog Count and Flesch Reading Ease Formula) for Navy Enlisted Personnel 2009Moving beyond Kučera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English 1969SMOG Grading - A New Readability Formula.1975Derivation of new readability formulas (Automated Readability Index, Fog Count and Flesch Reading Ease Formula) for Navy enlisted personnel ; Research Branch Report 8-75 2006Syntactic Simplification and Text Cohesion 2012Sentence Simplification by Monolingual Machine Translation 1978UNIVERSALS OF LEXICAL SIMPLIFICATION 1999Linguistic Simplification of SL Reading Material: Effective Instructional Practice?

Cited by

2024Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal 2017Sentence Simplification with Deep Reinforcement Learning 2020Data-Driven Sentence Simplification: Survey and Benchmark

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.