Tag your Old French text
You can find more information on this specific model here: https://github.com/chartes/deucalion-model-af
You can find more information on this specific model here: https://github.com/chartes/deucalion-model-af
The model was trained on the following corpora :
The annotations are made according to the following reference lists:
More information on the annotation practice can be found in the wiki of the Geste corpus: https://github.com/Jean-Baptiste-Camps/Geste/wiki.
Sample from annotation:
form lemma POS morph
G' je PROper PERS.=1|NOMB.=s|GENRE=m|CAS=n
irai aler VERcjg MODE=ind|TEMPS=fut|PERS.=1|NOMB.=s
sor sor2 PRE MORPH=empty
eus il PROper PERS.=3|NOMB.=p|GENRE=m|CAS=i
por por2 PRE MORPH=empty
lor lor2 DETpos PERS.=3|NOMB.=p|GENRE=f|CAS=r
terres terre NOMcom NOMB.=p|GENRE=f|CAS=r
saisir saisir VERinf MORPH=empty
Please remember that corpus creation and software engineering is valid research, so please cite these resources when you use this lemmatizer for your research: this includes the wonderful original research by E. Manjavacas, M. Kestemont and Á. Kádár as well as the software wrapping built to handle pre- and post-processing.
For each models, a bibliography and potentially other citable works are given, such as models and datasets are given.
@software{thibault_clerice_2020_3883590, author = {Clérice, Thibault}, title = {Pie Extended, an extension for Pie with pre-processing and post-processing}, month = jun, year = 2020, publisher = {Zenodo}, doi = {10.5281/zenodo.3883589}, url = {https://doi.org/10.5281/zenodo.3883589} } @inproceedings{manjavacas-etal-2019-improving, title = "Improving Lemmatization of Non-Standard Languages with Joint Learning", author = "Manjavacas, Enrique and K{\'a}d{\'a}r, {\'A}kos and Kestemont, Mike", booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)", month = jun, year = "2019", address = "Minneapolis, Minnesota", publisher = "Association for Computational Linguistics", url = "https://www.aclweb.org/anthology/N19-1153", doi = "10.18653/v1/N19-1153", pages = "1493--1503",}
@software{clerice_thibault_2019_3237455, author = {Clérice, Thibault and Camps, Jean-Baptiste and Pinche, Ariane}, title = {Deucalion, Modèle Ancien Francais (0.2.0)}, month = jun, year = 2019, publisher = {Zenodo}, version = {v0.2.0}, doi = {10.5281/zenodo.3237455}, url = {https://doi.org/10.5281/zenodo.3237455} }
This lemmatizer is provided to you thanks to the data of the LASLA, the software of Emmanuel Manjavacas and Mike Kestemont and some engineering from the École nationale des chartes. If you want to cite them :