Deucalion Model Ancien Français ENC

Model files

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Cite As

@software{clerice_thibault_2019_3237455,
  author       = {Camps, Jean-Baptiste and
                  Clérice, Thibault and
                  Pinche, Ariane and
                  Ing, Lucence and
                  Duval, Frédéric and
                  Kanaoka, Naomi},
  title        = {Deucalion, Modèle Ancien Francais (0.3.0)},
  month        = dec,
  year         = 2020,
  publisher    = {Zenodo},
  version      = {v0.3.0},
  doi          = {10.5281/zenodo.4320487},
  url          = {https://doi.org/10.5281/zenodo.4320487}
}

Credits

This model can be used with Pie-Extended and tested on Deucalion.

This mosdel is trained on Pie by Enrique Manjavacas (@emanjavacas) and Mike Kestemont (@mikekestemont) .

Information about the model

Scores

More details:

• lemma
• POS
• NOMB
• DEGRE
• GENRE
• CAS
• TEMPS
• PERS
• MODE

lemma

	accuracy	precision	recall	support
all	0.9747	0.7284	0.726	73507
known-tokens	0.9831	0.8969	0.8979	71726
unknown-tokens	0.6367	0.4327	0.4326	1781
ambiguous-tokens	0.9777	0.7723	0.7752	44987
unknown-targets	0.0751	0.0408	0.0408	253

POS

	accuracy	precision	recall	support
all	0.9739	0.8129	0.787	73507
known-tokens	0.9775	0.8325	0.8098	71726
unknown-tokens	0.8293	0.528	0.5079	1781
ambiguous-tokens	0.9713	0.8126	0.8007	49942

NOMB

	accuracy	precision	recall	support
all	0.966	0.9589	0.9576	28824
known-tokens	0.9709	0.9635	0.9627	27536
unknown-tokens	0.8626	0.8505	0.7935	1288
ambiguous-tokens	0.9538	0.9473	0.9481	14032

DEGRE

	accuracy	precision	recall	support
all	0.9842	0.8266	0.7396	28824
known-tokens	0.9865	0.8475	0.7554	27536
unknown-tokens	0.9356	0.5693	0.4783	1288
ambiguous-tokens	0.9524	0.8443	0.7695	5863

GENRE

	accuracy	precision	recall	support
all	0.9608	0.9276	0.8738	28824
known-tokens	0.9671	0.9332	0.8815	27536
unknown-tokens	0.8245	0.6139	0.6159	1288
ambiguous-tokens	0.9428	0.9156	0.863	13608

CAS

	accuracy	precision	recall	support
all	0.9457	0.9057	0.9052	28824
known-tokens	0.9514	0.9105	0.9106	27536
unknown-tokens	0.8238	0.6096	0.605	1288
ambiguous-tokens	0.9301	0.9036	0.9054	16647

TEMPS

	accuracy	precision	recall	support
all	0.9854	0.945	0.9408	28824
known-tokens	0.9886	0.9584	0.9585	27536
unknown-tokens	0.9169	0.8372	0.8109	1288
ambiguous-tokens	0.9644	0.9331	0.9527	4638

PERS

	accuracy	precision	recall	support
all	0.9872	0.8732	0.7848	28824
known-tokens	0.9897	0.8782	0.7906	27536
unknown-tokens	0.9325	0.8832	0.8721	1288
ambiguous-tokens	0.9756	0.8709	0.7839	8648

MODE

	accuracy	precision	recall	support
all	0.9897	0.9086	0.8815	28824
known-tokens	0.9932	0.9284	0.9066	27536
unknown-tokens	0.9146	0.7783	0.7381	1288
ambiguous-tokens	0.9722	0.8739	0.9003	4603

Corpora

The model was trained on the following corpora :

• Geste: un corpus de chansons de geste, dir. Jean-Baptiste Camps, avec la collab. d'Elena Albarran, Alice Cochet & Lucence Ing, Paris, 2016-…, http://github.com/Jean-Baptiste-Camps/Geste.
• Édition nativement numérique du recueil hagiographique "Li Seint Confessor" de Wauchier de Denain d'après le manuscrit 412 de la Bibliothèque nationale de France, éd. Ariane Pinche, Lyon, en cours (only Dialogues and La vie de Saint Martin are used right now. Data are closed source until publication of the PhD thesis)
• Les Institutes de Justinien en français, éd. F. Olivier-Martin (1935), éd. revue par F. Duval, lemmatisée par F. Duval et L. Ing. Paris, 2018.
• Chrétien de Troyes: Cligès, Erec, Lancelot, Perceval, Yvain -- Manuscrit P (BnF Fr. 794), éd. P. Kunstmann (2009), annotation revue par J.B. Camps et L. Ing (2017).

Annotations

The annotations are made according to the following reference lists:

• lemma: Adolf Tobler et Erhard Friedrich Lommatzsch, Altfranzösisches Wörterbuch: édition électronique, éd. Peter Blumenthal et Achim Stein, Stuttgart, F. Steiner, 2002.
• POS and morph: Sophie Prévost, Céline Guillot, Alexei Lavrentiev et Serge Heiden, Jeu d’étiquettes morphosyntaxiques CATTEX2009-max, Lyon, 2013, http://bfm.ens-lyon.fr/IMG/pdf/Cattex2009_2.0.pdf.

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

Sample from annotation:

<<<<<<< HEAD

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