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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Camps, Jean-Baptiste; Gabay, Simon; Clérice, Thibault; Cafiero, Florian;

    Pie Model for Classical French, for Part-of-Speech and Morphology tags (CATTEX2009-max). Trained on a corpus of Classical French Theatre. More information: - corpus: Camps, Jean-Baptiste, & Cafiero, Florian. (2019). Stylometric Analysis of Classical French Theatre [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3353421. - F. Cafiero and J.B. Camps, Why Molière most likely did write his plays, Science Advances, 27 Nov 2019: Vol. 5, no. 11, eaax5489, DOI: 10.1126/sciadv.aax5489, https://advances.sciencemag.org/content/5/11/eaax5489/. - J.B. Camps, S. Gabay, Th. Clérice and F. Cafiero, Corpus and Models for Lemmatisation and POS-tagging of Classical French Theatre, to be published. Current results on test data: ::: Evaluation report for task: pos ::: all: accuracy: 0.9701 precision: 0.92 recall: 0.8964 support: 4181 ambiguous-tokens: accuracy: 0.9229 precision: 0.9203 recall: 0.9175 support: 934 unknown-tokens: accuracy: 0.8165 precision: 0.4798 recall: 0.4904 support: 218 ::: Evaluation report for task: MODE ::: all: accuracy: 0.9818 precision: 0.8765 recall: 0.8517 support: 4181 ambiguous-tokens: accuracy: 0.84 precision: 0.8483 recall: 0.7612 support: 125 unknown-tokens: accuracy: 0.8211 precision: 0.7256 recall: 0.658 support: 218 ::: Classification report ::: | target | precision | recall | f1-score | support | |-------------|-----------|--------|----------|---------| | MODE=con | 0.81 | 0.94 | 0.87 | 18 | | MODE=imp | 0.83 | 0.78 | 0.80 | 68 | | MODE=ind | 0.91 | 0.92 | 0.92 | 341 | | MODE=sub | 0.84 | 0.62 | 0.71 | 60 | | MODE=x | 0.99 | 1.00 | 1.00 | 3694 | | avg / total | 0.88 | 0.85 | 0.86 | 4181 | ::: Evaluation report for task: TEMPS ::: all: accuracy: 0.9871 precision: 0.9305 recall: 0.9259 support: 4181 ambiguous-tokens: accuracy: 0.9135 precision: 0.623 recall: 0.6072 support: 104 unknown-tokens: accuracy: 0.8394 precision: 0.8693 recall: 0.5399 support: 218 ::: Classification report ::: | target | precision | recall | f1-score | support | |-------------|-----------|--------|----------|---------| | TEMPS=fut | 0.98 | 0.85 | 0.91 | 47 | | TEMPS=ipf | 0.93 | 0.88 | 0.90 | 16 | | TEMPS=psp | 0.80 | 1.00 | 0.89 | 4 | | TEMPS=pst | 0.95 | 0.91 | 0.93 | 334 | | TEMPS=x | 0.99 | 1.00 | 0.99 | 3780 | | avg / total | 0.93 | 0.93 | 0.92 | 4181 | ::: Evaluation report for task: PERS ::: all: accuracy: 0.9859 precision: 0.9821 recall: 0.9668 support: 4181 ambiguous-tokens: accuracy: 0.942 precision: 0.9178 recall: 0.9188 support: 362 unknown-tokens: accuracy: 0.8394 precision: 0.9426 recall: 0.6344 support: 218 ::: Classification report ::: | target | precision | recall | f1-score | support | |-------------|-----------|--------|----------|---------| | PERS.=1 | 0.98 | 0.96 | 0.97 | 429 | | PERS.=2 | 0.97 | 0.97 | 0.97 | 258 | | PERS.=3 | 0.99 | 0.94 | 0.96 | 410 | | PERS.=x | 0.99 | 1.00 | 0.99 | 3084 | | avg / total | 0.98 | 0.97 | 0.97 | 4181 | ::: Evaluation report for task: NOMB ::: all: accuracy: 0.9797 precision: 0.9809 recall: 0.9733 support: 4181 ambiguous-tokens: accuracy: 0.7865 precision: 0.7511 recall: 0.6884 support: 192 unknown-tokens: accuracy: 0.8349 precision: 0.7918 recall: 0.7729 support: 218 ::: Classification report ::: | target | precision | recall | f1-score | support | |-------------|-----------|--------|----------|---------| | NOMB.=p | 0.98 | 0.95 | 0.97 | 545 | | NOMB.=s | 0.98 | 0.98 | 0.98 | 1831 | | NOMB.=x | 0.98 | 0.99 | 0.98 | 1805 | | avg / total | 0.98 | 0.97 | 0.98 | 4181 | ::: Evaluation report for task: GENRE ::: all: accuracy: 0.9749 precision: 0.969 recall: 0.9685 support: 4181 ambiguous-tokens: accuracy: 0.9118 precision: 0.9063 recall: 0.9208 support: 465 unknown-tokens: accuracy: 0.7385 precision: 0.7097 recall: 0.6977 support: 218 ::: Classification report ::: | target | precision | recall | f1-score | support | |-------------|-----------|--------|----------|---------| | GENRE=f | 0.92 | 0.94 | 0.93 | 387 | | GENRE=m | 0.97 | 0.94 | 0.96 | 940 | | GENRE=n | 1.00 | 1.00 | 1.00 | 45 | | GENRE=x | 0.98 | 0.99 | 0.99 | 2809 | | avg / total | 0.97 | 0.97 | 0.97 | 4181 | ::: Evaluation report for task: CAS ::: all: accuracy: 0.9983 precision: 0.9957 recall: 0.9901 support: 4181 ambiguous-tokens: accuracy: 0.9648 precision: 0.9796 recall: 0.9692 support: 199 unknown-tokens: accuracy: 1.0 precision: 1.0 recall: 1.0 support: 218 ::: Classification report ::: | target | precision | recall | f1-score | support | |-------------|-----------|--------|----------|---------| | CAS=i | 1.00 | 1.00 | 1.00 | 46 | | CAS=n | 1.00 | 1.00 | 1.00 | 190 | | CAS=r | 0.98 | 0.96 | 0.97 | 128 | | CAS=x | 1.00 | 1.00 | 1.00 | 3817 | | avg / total | 1.00 | 0.99 | 0.99 | 4181 | {"references": ["Cafiero and Camps (2019). Why Moli\u00e8re most likely did write his plays, Science Advances, 27 Nov 2019: Vol. 5, no. 11, eaax5489, DOI: 10.1126/sciadv.aax5489,", "Camps, Gabay, Cl\u00e9rice and Cafiero (to be published). Corpus and Models for Lemmatisation and POS-tagging of Classical French Theatre."]}

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    Guide général pour CSL/Clio, en deux versions : A4 plutôt pour l'impression, et Diapo plus adaptée au visionnage sur écran.

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  • Voir le guide d'utilisation dans la même communauté et la documentation propre au style. See the user guide in the same community and the REB stylesheet's documentation. Style CSL de la Revue des Études byzantines CSL stylesheet for the Revue des Études byzantines

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Frerebeau, Nicolas; Ben Amara, Ayed; Cantin, Nadia;

    Research compendium of Frerebeau, N., Ben Amara, A. and Cantin, N. (2019) [in french]. The compendium contains all data, code, and text associated with this paper.

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    Authors: Dumont, Bastien;

    Documentation particulière au style de la Revue des Études byzantines, précisant quelles fonctionnalités ne sont pas prises en charge par CSL et, parmi elles, lesquelles sont implémentées par des macros LibreOffice. Le fichier au format A4 est davantage adapté à une impression, le format Diapo à un visionnage sur écran.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Camps, Jean-Baptiste; Gabay, Simon; Clérice, Thibault; Cafiero, Florian;

    Pie Model for Classical French, for Part-of-Speech and Morphology tags (CATTEX2009-max). Trained on a corpus of Classical French Theatre. More information: - corpus: Camps, Jean-Baptiste, & Cafiero, Florian. (2019). Stylometric Analysis of Classical French Theatre [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3353421. - F. Cafiero and J.B. Camps, Why Molière most likely did write his plays, Science Advances, 27 Nov 2019: Vol. 5, no. 11, eaax5489, DOI: 10.1126/sciadv.aax5489, https://advances.sciencemag.org/content/5/11/eaax5489/. - J.B. Camps, S. Gabay, Th. Clérice and F. Cafiero, Corpus and Models for Lemmatisation and POS-tagging of Classical French Theatre, to be published. Current results on test data: ::: Evaluation report for task: pos ::: all: accuracy: 0.9701 precision: 0.92 recall: 0.8964 support: 4181 ambiguous-tokens: accuracy: 0.9229 precision: 0.9203 recall: 0.9175 support: 934 unknown-tokens: accuracy: 0.8165 precision: 0.4798 recall: 0.4904 support: 218 ::: Evaluation report for task: MODE ::: all: accuracy: 0.9818 precision: 0.8765 recall: 0.8517 support: 4181 ambiguous-tokens: accuracy: 0.84 precision: 0.8483 recall: 0.7612 support: 125 unknown-tokens: accuracy: 0.8211 precision: 0.7256 recall: 0.658 support: 218 ::: Classification report ::: | target | precision | recall | f1-score | support | |-------------|-----------|--------|----------|---------| | MODE=con | 0.81 | 0.94 | 0.87 | 18 | | MODE=imp | 0.83 | 0.78 | 0.80 | 68 | | MODE=ind | 0.91 | 0.92 | 0.92 | 341 | | MODE=sub | 0.84 | 0.62 | 0.71 | 60 | | MODE=x | 0.99 | 1.00 | 1.00 | 3694 | | avg / total | 0.88 | 0.85 | 0.86 | 4181 | ::: Evaluation report for task: TEMPS ::: all: accuracy: 0.9871 precision: 0.9305 recall: 0.9259 support: 4181 ambiguous-tokens: accuracy: 0.9135 precision: 0.623 recall: 0.6072 support: 104 unknown-tokens: accuracy: 0.8394 precision: 0.8693 recall: 0.5399 support: 218 ::: Classification report ::: | target | precision | recall | f1-score | support | |-------------|-----------|--------|----------|---------| | TEMPS=fut | 0.98 | 0.85 | 0.91 | 47 | | TEMPS=ipf | 0.93 | 0.88 | 0.90 | 16 | | TEMPS=psp | 0.80 | 1.00 | 0.89 | 4 | | TEMPS=pst | 0.95 | 0.91 | 0.93 | 334 | | TEMPS=x | 0.99 | 1.00 | 0.99 | 3780 | | avg / total | 0.93 | 0.93 | 0.92 | 4181 | ::: Evaluation report for task: PERS ::: all: accuracy: 0.9859 precision: 0.9821 recall: 0.9668 support: 4181 ambiguous-tokens: accuracy: 0.942 precision: 0.9178 recall: 0.9188 support: 362 unknown-tokens: accuracy: 0.8394 precision: 0.9426 recall: 0.6344 support: 218 ::: Classification report ::: | target | precision | recall | f1-score | support | |-------------|-----------|--------|----------|---------| | PERS.=1 | 0.98 | 0.96 | 0.97 | 429 | | PERS.=2 | 0.97 | 0.97 | 0.97 | 258 | | PERS.=3 | 0.99 | 0.94 | 0.96 | 410 | | PERS.=x | 0.99 | 1.00 | 0.99 | 3084 | | avg / total | 0.98 | 0.97 | 0.97 | 4181 | ::: Evaluation report for task: NOMB ::: all: accuracy: 0.9797 precision: 0.9809 recall: 0.9733 support: 4181 ambiguous-tokens: accuracy: 0.7865 precision: 0.7511 recall: 0.6884 support: 192 unknown-tokens: accuracy: 0.8349 precision: 0.7918 recall: 0.7729 support: 218 ::: Classification report ::: | target | precision | recall | f1-score | support | |-------------|-----------|--------|----------|---------| | NOMB.=p | 0.98 | 0.95 | 0.97 | 545 | | NOMB.=s | 0.98 | 0.98 | 0.98 | 1831 | | NOMB.=x | 0.98 | 0.99 | 0.98 | 1805 | | avg / total | 0.98 | 0.97 | 0.98 | 4181 | ::: Evaluation report for task: GENRE ::: all: accuracy: 0.9749 precision: 0.969 recall: 0.9685 support: 4181 ambiguous-tokens: accuracy: 0.9118 precision: 0.9063 recall: 0.9208 support: 465 unknown-tokens: accuracy: 0.7385 precision: 0.7097 recall: 0.6977 support: 218 ::: Classification report ::: | target | precision | recall | f1-score | support | |-------------|-----------|--------|----------|---------| | GENRE=f | 0.92 | 0.94 | 0.93 | 387 | | GENRE=m | 0.97 | 0.94 | 0.96 | 940 | | GENRE=n | 1.00 | 1.00 | 1.00 | 45 | | GENRE=x | 0.98 | 0.99 | 0.99 | 2809 | | avg / total | 0.97 | 0.97 | 0.97 | 4181 | ::: Evaluation report for task: CAS ::: all: accuracy: 0.9983 precision: 0.9957 recall: 0.9901 support: 4181 ambiguous-tokens: accuracy: 0.9648 precision: 0.9796 recall: 0.9692 support: 199 unknown-tokens: accuracy: 1.0 precision: 1.0 recall: 1.0 support: 218 ::: Classification report ::: | target | precision | recall | f1-score | support | |-------------|-----------|--------|----------|---------| | CAS=i | 1.00 | 1.00 | 1.00 | 46 | | CAS=n | 1.00 | 1.00 | 1.00 | 190 | | CAS=r | 0.98 | 0.96 | 0.97 | 128 | | CAS=x | 1.00 | 1.00 | 1.00 | 3817 | | avg / total | 1.00 | 0.99 | 0.99 | 4181 | {"references": ["Cafiero and Camps (2019). Why Moli\u00e8re most likely did write his plays, Science Advances, 27 Nov 2019: Vol. 5, no. 11, eaax5489, DOI: 10.1126/sciadv.aax5489,", "Camps, Gabay, Cl\u00e9rice and Cafiero (to be published). Corpus and Models for Lemmatisation and POS-tagging of Classical French Theatre."]}

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    Guide général pour CSL/Clio, en deux versions : A4 plutôt pour l'impression, et Diapo plus adaptée au visionnage sur écran.

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  • Voir le guide d'utilisation dans la même communauté et la documentation propre au style. See the user guide in the same community and the REB stylesheet's documentation. Style CSL de la Revue des Études byzantines CSL stylesheet for the Revue des Études byzantines

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    Authors: Frerebeau, Nicolas; Ben Amara, Ayed; Cantin, Nadia;

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    Authors: Dumont, Bastien;

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