YATS: Yet Another Text Simplifier

  • Daniel Ferrés
  • Montserrat Marimon
  • Horacio Saggion
  • Ahmed AbuRa’ed
Conference paper

DOI: 10.1007/978-3-319-41754-7_32

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9612)
Cite this paper as:
Ferrés D., Marimon M., Saggion H., AbuRa’ed A. (2016) YATS: Yet Another Text Simplifier. In: Métais E., Meziane F., Saraee M., Sugumaran V., Vadera S. (eds) Natural Language Processing and Information Systems. NLDB 2016. Lecture Notes in Computer Science, vol 9612. Springer, Cham

Abstract

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.

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Daniel Ferrés
    • 1
  • Montserrat Marimon
    • 1
  • Horacio Saggion
    • 1
  • Ahmed AbuRa’ed
    • 1
  1. 1.TALN - DTICUniversitat Pompeu FabraBarcelonaSpain

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