Text simplification

Text simplification is an operation used in natural language processing to modify, enhance, classify or otherwise process an existing corpus of human-readable text in such a way that the grammar and structure of the prose is greatly simplified, while the underlying meaning and information remains the same. Text simplification is an important area of research, because natural human languages ordinarily contain complex compound constructions that are not easily processed through automation. In terms of reducing language diversity, semantic compression can be employed to limit and simplify a set of words used in given texts.

Example

Text Simplification is illustrated with an example from Siddharthan (2006). The first sentence contains two relative clauses and one conjoined verb phrase. A text simplification system aims to simplify the first sentence to the second sentence.

“The ability to simplify means to eliminate the unnecessary so that the necessary may speak”

Also contributing to the firmness in copper, the analyst noted, was a report by Chicago purchasing agents, which precedes the full purchasing agents report that is due out today and gives an indication of what the full report might hold.
Also contributing to the firmness in copper, the analyst noted, was a report by Chicago purchasing agents. The Chicago report precedes the full purchasing agents report. The Chicago report gives an indication of what the full report might hold. The full report is due out today.

References

Advaith Siddharthan. "Syntactic Simplification and Text Cohesion". In Research on Language and Computation, Volume 4, Issue 1, Jun 2006, Pages 77–109, Springer Science, the Netherlands.
Siddhartha Jonnalagadda, Luis Tari, Joerg Hakenberg, Chitta Baral and Graciela Gonzalez. Towards Effective Sentence Simplification for Automatic Processing of Biomedical Text. In Proc. of the NAACL-HLT 2009, Boulder, USA, June.

External links

Natural language processing

General terms	Text corpus Speech corpus Stopwords Bag-of-words AI-complete n-gram (Bigram, Trigram)

Text analysis	Text segmentation Part-of-speech tagging Text chunking Compound term processing Collocation extraction Stemming Lemmatisation Named-entity recognition Coreference resolution Sentiment analysis Concept mining Parsing Word sense disambiguation Terminology extraction Truecasing

Automatic summarization	Multi-document summarization Sentence extraction Text simplification

Machine translation	Computer-assisted Example-based Rule-based

Automatic identification and data capture	Speech recognition Speech synthesis Optical character recognition Natural language generation

Topic model	Pachinko allocation Latent Dirichlet allocation Latent semantic analysis

Computer-assisted reviewing	Automated essay scoring Concordancer Grammar checker Predictive text Spell checker Syntax guessing

Natural language user interface	Automated online assistant Chatterbot Interactive fiction Question answering

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Text simplification

Example

See also

References

External links