People Involved

• LABRAK Yanis (1)
• DUFOUR Richard (2)

Affiliations

1. LIA, Avignon University, Avignon, France.
2. LS2N, Nantes University, Nantes, France.

ANTILLES : An Open French Linguistically Enriched Part-of-Speech Corpus

ANTILLES is a part-of-speech tagging corpus based on UD_French-GSD which was originally created in 2015 and is based on the universal dependency treebank v2.0.

Originally, the corpus consists of 400,399 words (16,341 sentences) and had 17 different classes. Now, after applying our tags augmentation script transform.py, we obtain 60 different classes which add semantic information such as: the gender, number, mood, person, tense or verb form given in the different CoNLL-03 fields from the original corpus.

We based our tags on the level of details given by the LIA_TAGG statistical POS tagger written by Frédéric Béchet in 2001.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Load the model

How to use in Flair (model)

from flair.models import SequenceTagger
tagger = SequenceTagger.load("qanastek/pos-french")

Demos on HuggingFace Spaces

Models on HuggingFace

Accuracy 95.20%	Accuracy 97.78%	Accuracy 97.97%

Statistics

Original Tags from UD_FRENCH-GSD

PRON VERB SCONJ ADP CCONJ DET NOUN ADJ AUX ADV PUNCT PROPN NUM SYM PART X INTJ

New Tags based on LIA_TAGG

BibTeX Citations

Please cite the following paper when using this model.

ANTILLES extended corpus:

@inproceedings{labrak:hal-03696042,
  TITLE = {{ANTILLES: An Open French Linguistically Enriched Part-of-Speech Corpus}},
  AUTHOR = {Labrak, Yanis and Dufour, Richard},
  URL = {https://hal.archives-ouvertes.fr/hal-03696042},
  BOOKTITLE = {{25th International Conference on Text, Speech and Dialogue (TSD)}},
  ADDRESS = {Brno, Czech Republic},
  PUBLISHER = {{Springer}},
  YEAR = {2022},
  MONTH = Sep,
  KEYWORDS = {Part-of-speech corpus ; POS tagging ; Open tools ; Word embeddings ; Bi-LSTM ; CRF ; Transformers},
  PDF = {https://hal.archives-ouvertes.fr/hal-03696042/file/ANTILLES_A_freNch_linguisTIcaLLy_Enriched_part_of_Speech_corpus.pdf},
  HAL_ID = {hal-03696042},
  HAL_VERSION = {v1},
}

UD_French-GSD corpus:

@misc{
    universaldependencies,
    title={UniversalDependencies/UD_French-GSD},
    url={https://github.com/UniversalDependencies/UD_French-GSD}, journal={GitHub},
    author={UniversalDependencies}
}

LIA TAGG:

@techreport{LIA_TAGG,
  author = {Frédéric Béchet},
  title = {LIA_TAGG: a statistical POS tagger + syntactic bracketer},
  institution = {Aix-Marseille University & CNRS},
  year = {2001}
}