Ferrés, DanielMarimon, MontserratSaggion, HoracioAbuRa'ed, Ahmed Ghassan Tawfiq2018-07-242018-07-242016Ferrés D, Marimon M, Saggion H, AbuRa'ed A. YATS: Yet Another Text Simplifier. In: Métais E, Meziane F, Saraee M, Sugumaran V, Vadera S, editors. Natural Language Processing and Information Systems. 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016; 2016 Jun 22-24; Salford, UK. Cham (Switzerland): Springer; 2016. 335-42. (LNCS, no. 9612).DOI: 10.1007/978-3-319-41754-7_320302-9743http://hdl.handle.net/10230/35240Comunicació presentada a la 21st International Conference on Applications of Natural Language to Information Systems (NLDB 2016), celebrada els dies 22 a 24 de juny de 2016 a Salford, Regne Unit.We present a text simplifier for English that has been built with open source software and has both lexical and syntactic simplification capabilities. The lexical simplifier uses a vector space model approach to obtain the most appropriate sense of a given word in a given context and word frequency simplicity measures to rank synonyms. The syntactic simplifier uses linguistically-motivated rule-based syntactic analysis and generation techniques that rely on part-of-speech tags and syntactic dependency information. Experimental results show good performance of the lexical simplification component when compared to a hard-to-beat baseline, good syntactic simplification accuracy, and according to human assessment, improvements over the best reported results in the literature for a system with same architecture as YATS.application/pdfeng© Springer The final publication is available at Springer via https://doi.org/10.1007/978-3-319-41754-7_32info:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1007/978-3-319-41754-7_32Target wordRelative clauseWord sense disambiguationComplex wordSubordinate clauseinfo:eu-repo/semantics/openAccess