metadata
language:
- fra
license: cc-by-nc-sa-4.0
configs:
- config_name: CRF_Tagger
data_files:
- split: train
path: FLELex_CRF Tagger.txt
- config_name: TreeTagger
data_files:
- split: train
path: FLELex_TreeTagger.txt
- config_name: TreeTagger_Beacco
data_files:
- split: train
path: ' FLELex_TreeTagger_Beacco.txt '
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",
}