@inproceedings{ferres-etal-2017-adaptable,
    title = "An Adaptable Lexical Simplification Architecture for Major {I}bero-{R}omance Languages",
    author = "Ferr{\'e}s, Daniel  and
      Saggion, Horacio  and
      G{\'o}mez Guinovart, Xavier",
    editor = "Bender, Emily  and
      Daum{\'e} III, Hal  and
      Ettinger, Allyson  and
      Rao, Sudha",
    booktitle = "Proceedings of the First Workshop on Building Linguistically Generalizable {NLP} Systems",
    month = sep,
    year = "2017",
    address = "Copenhagen, Denmark",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Author-page-Marten-During-lu/W17-5406/",
    doi = "10.18653/v1/W17-5406",
    pages = "40--47",
    abstract = "Lexical Simplification is the task of reducing the lexical complexity of textual documents by replacing difficult words with easier to read (or understand) expressions while preserving the original meaning. The development of robust pipelined multilingual architectures able to adapt to new languages is of paramount importance in lexical simplification. This paper describes and evaluates a modular hybrid linguistic-statistical Lexical Simplifier that deals with the four major Ibero-Romance Languages: Spanish, Portuguese, Catalan, and Galician. The architecture of the system is the same for the four languages addressed, only the language resources used during simplification are language specific."
}