Pretrained models#
Sorted by language and corpus.
Usage note: The -camembert and -flaubert models use the eponymous embeddings and as such put a relatively heavy load on hardware. We recommend using them on GPUs with at least 10 GiB memory. Otherwise, running them on CPUs is still possible, albeit slow.
French#
FTB-UD#
Model name |
UPOS (dev) |
LAS (dev) |
UPOS (test) |
LAS (test) |
Download |
|---|---|---|---|---|---|
UD_French-FTB-2.9-camembert |
98.43 |
88.24 |
98.57 |
88.50 |
|
UD_French-FTB-2.9-flaubert |
98.46 |
88.46 |
98.55 |
88.60 |
GSD-UD#
Model name |
UPOS (dev) |
LAS (dev) |
UPOS (test) |
LAS (test) |
Download |
|---|---|---|---|---|---|
UD_French-GSD-2.9-camembert |
98.68 |
95.64 |
98.32 |
94.13 |
|
UD_French-GSD-2.9-flaubert |
98.73 |
95.72 |
98.59 |
94.26 |
|
UD_French-GSD-2.9-nobert-all |
98.14 |
92.70 |
97.89 |
90.48 |
Sequoia-UD#
Model name |
UPOS (dev) |
LAS (dev) |
UPOS (test) |
LAS (test) |
Download |
|---|---|---|---|---|---|
UD_French-Sequoia-2.9-camembert |
99.07 |
93.43 |
99.15 |
93.90 |
|
UD_French-Sequoia-2.9-flaubert |
99.13 |
94.42 |
99.31 |
94.78 |
|
UD_French-Sequoia-2.9-nobert-all |
97.69 |
87.27 |
97.90 |
87.40 |
French-spoken-UD#
Model name |
UPOS (dev) |
LAS (dev) |
UPOS (test) |
LAS (test) |
Download |
|---|---|---|---|---|---|
UD_French-spoken-2.9-camembert |
98.03 |
84.07 |
96.85 |
80.33 |
|
UD_French-spoken-2.9-flaubert |
98.20 |
84.54 |
97.05 |
80.59 |
|
UD_French-Rhapsodie-2.9-nobert-all |
96.89 |
80.11 |
96.01 |
75.12 |
Old French#
SRCMF-UD#
Due to changes in the parser in the meantime, the performances of these models differ from those presented in Grobol et al. (2022).
Model name |
UPOS (dev) |
LAS (dev) |
UPOS (test) |
LAS (test) |
Download |
|---|---|---|---|---|---|
UD_Old_French-SRCMF-2.9-bertrade_base |
97.29 |
88.35 |
97.33 |
88.97 |
|
UD_Old_French-SRCMF-2.9-camembert_base+mlm-fro |
97.61 |
90.37 |
97.66 |
91.19 |
|
UD_Old_French-SRCMF-2.9-flaubert_base_cased+mlm-fro |
97.65 |
90.91 |
97.69 |
91.00 |
If you use these models, please cite
@inproceedings{grobol2022BERTradeUsingContextual,
title = {{{BERTrade}}: {{Using Contextual Embeddings}} to {{Parse Old French}}},
booktitle = {Proceedings of the {{Thirteenth Language Resources}} and {{Evaluation Conference}}},
author = {Grobol, Loïc and Regnault, Mathilde and Ortiz Suárez, Pedro Javier and Sagot, Benoît and Romary, Laurent and Crabbé, Benoit},
date = {2022-06},
pages = {1104--1113},
publisher = {{European Language Resource Association}},
url = {https://aclanthology.org/2022.lrec-1.119},
eventtitle = {{{LREC}} 2022},
langid = {english},
venue = {Marseille, France}
}