FrancophonIA/FLELex

Dataset origin: https://cental.uclouvain.be/cefrlex/flelex/download/

Citation

@inproceedings{francois-etal-2014-flelex,
    title = "{FLEL}ex: a graded lexical resource for {F}rench foreign learners",
    author = "Fran{\c{c}}ois, Thomas  and
      Gala, N{\`u}ria  and
      Watrin, Patrick  and
      Fairon, C{\'e}drick",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Declerck, Thierry  and
      Loftsson, Hrafn  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
    month = may,
    year = "2014",
    address = "Reykjavik, Iceland",
    publisher = "European Language Resources Association (ELRA)",
    url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/1108_Paper.pdf",
    pages = "3766--3773",
    abstract = "In this paper we present FLELex, the first graded lexicon for French as a foreign language (FFL) that reports word frequencies by difficulty level (according to the CEFR scale). It has been obtained from a tagged corpus of 777,000 words from available textbooks and simplified readers intended for FFL learners. Our goal is to freely provide this resource to the community to be used for a variety of purposes going from the assessment of the lexical difficulty of a text, to the selection of simpler words within text simplification systems, and also as a dictionary in assistive tools for writing.",
}

@inproceedings{pintard-francois-2020-combining,
    title = "Combining Expert Knowledge with Frequency Information to Infer {CEFR} Levels for Words",
    author = "Pintard, Alice  and
      Fran{\c{c}}ois, Thomas",
    editor = "Gala, N{\'u}ria  and
      Wilkens, Rodrigo",
    booktitle = "Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI)",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2020.readi-1.13",
    pages = "85--92",
    abstract = "Traditional approaches to set goals in second language (L2) vocabulary acquisition relied either on word lists that were obtained from large L1 corpora or on collective knowledge and experience of L2 experts, teachers, and examiners. Both approaches are known to offer some advantages, but also to have some limitations. In this paper, we try to combine both sources of information, namely the official reference level description for French language and the FLElex lexical database. Our aim is to train a statistical model on the French RLD that would be able to turn the distributional information from FLElex into one of the six levels of the Common European Framework of Reference for languages (CEFR). We show that such approach yields a gain of 29{\%} in accuracy compared to the method currently used in the CEFRLex project. Besides, our experiments also offer deeper insights into the advantages and shortcomings of the two traditional sources of information (frequency vs. expert knowledge).",
    language = "English",
    ISBN = "979-10-95546-45-0",
}