An architecture for a text simplification system

Siddharthan, Advaith

doi:10.1109/lec.2002.1182292

Cited by 59 publications

(69 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Text simplification (TS) is the process of reducing the complexity of a text while preserving its meaning (Chandrasekar et al, 1996;Siddharthan, 2002a;Siddharthan, 2006). There are two main types of simplification: syntactic and lexical.…”

Section: Introductionmentioning

confidence: 99%

Relative clause extraction for syntactic simplification

Dornescu¹,

Evans²,

Orăsan³

2014

Proceedings of the Workshop on Automatic Text Simplification - Methods and Applications in the Multilingual Society (ATS-MA 201

View full text Add to dashboard Cite

This paper investigates non-destructive simplification, a type of syntactic text simplification which focuses on extracting embedded clauses from structurally complex sentences and rephrasing them without affecting their original meaning. This process reduces the average sentence length and complexity to make text simpler. Although relevant for human readers with low reading skills or language disabilities, the process has direct applications in NLP. In this paper we analyse the extraction of relative clauses through a tagging approach. A dataset covering three genres was manually annotated and used to develop and compare several approaches for automatically detecting appositions and non-restrictive relative clauses. The best results are obtained by a ML model developed using crfsuite, followed by a rule based method.

show abstract

Section: Introductionmentioning

confidence: 99%

Relative clause extraction for syntactic simplification

Dornescu¹,

Evans²,

Orăsan³

2014

Proceedings of the Workshop on Automatic Text Simplification - Methods and Applications in the Multilingual Society (ATS-MA 201

View full text Add to dashboard Cite

show abstract

“…There are different organizations and programs in Spain that help promote easy-to-read materials, such as Easy-to-Read Association (Asociación Lectura Fácil) 13 in Barcelona and Live Easy-to-Read (Vive la fácil lectura) 14 in Extremadura. Easy-to-Read initiatives work towards creating plain language versions of legal documents and news texts for institutions and companies that want to improve communication with their target audience.…”

Section: Language Accessibility and Text Simplificationmentioning

confidence: 99%

“…Some readers find difficult texts including long sentences, passives, coordinate and subordinate clauses, abstract words, low frequency words, and abbreviations. The rule-based paradigm has been used in the implementation of some systems [13], [14], [15]. The transformation of texts into easy-to-read versions can also be phrased as a translation problem between two different subsets of language: the original and the easy-to-read version.…”

Section: Language Accessibility and Text Simplificationmentioning

confidence: 99%

An approach to treat numerical information in the text simplification process

Bautista

Hervás

Gervás

et al. 2015

Univ Access Inf Soc

View full text Add to dashboard Cite

Abstract:Public information services and documents should be accessible to the widest possible readership. In particular, information from these sources often takes the form of numerical expressions, which pose comprehension problems for many people, including people with disabilities, who are often also exposed to poverty, illiteracy, or lack of access to advanced technology. This paper presents an approach to treat numerical information in the text simplification process to make it more accessible. A generic model for automatic text simplification systems is presented, aimed at making documents more accessible to readers with cognitive disabilities. The proposed approach is validated with a real system to simplify numerical expressions in Spanish. This system is then evaluated and the results show that it is appropriate for the task at hand.

show abstract

“…It is useful as a preprocessing step for a variety of NLP systems such as parsers and machine translation systems (Chandrasekar et al, 1996), summarisation (Knight and Marcu, 2000), sentence fusion (Filippova and Strube, 2008) and semantic role labelling (Vickrey and Koller, 2008). It also has wide ranging potential societal application as a reading aid for people with aphasis (Carroll et al, 1999), for low literacy readers (Watanabe et al, 2009) and for non native speakers (Siddharthan, 2002).…”

Section: Introductionmentioning

confidence: 99%

Hybrid Simplification using Deep Semantics and Machine Translation

Narayan¹,

Gardent²

2014

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

111

147

View full text Add to dashboard Cite

We present a hybrid approach to sentence simplification which combines deep semantics and monolingual machine translation to derive simple sentences from complex ones. The approach differs from previous work in two main ways. First, it is semantic based in that it takes as input a deep semantic representation rather than e.g., a sentence or a parse tree. Second, it combines a simplification model for splitting and deletion with a monolingual translation model for phrase substitution and reordering. When compared against current state of the art methods, our model yields significantly simpler output that is both grammatical and meaning preserving.

show abstract

An architecture for a text simplification system

Cited by 59 publications

References 5 publications

Relative clause extraction for syntactic simplification

Relative clause extraction for syntactic simplification

An approach to treat numerical information in the text simplification process

Hybrid Simplification using Deep Semantics and Machine Translation

Contact Info

Product

Resources

About