This site: https://hdl.handle.net/11403/comere	Open Resources and TOols for LANGuage
CoMeRe Repository: Corpora of Computer-Mediated Communication in French

This repository includes corpora of mono or multimodal interactions mediated through networks (Internet, Phone, etc.). Three fundamental principles underlie CoMeRe: variety, standards, openness.

• Variety: interactions stemming from networks, as well as mono and multimodal, synchronous and asynchronous communications, eg: Email, forums, textchat, Tweets, SMS, Wiki discussions, video-audio conference systems, etc.
• Standards: corpora are structured and referred to in a uniform way, i.e. in TEI - Text Enconding Initiative- with a specific extension dedicated to CMC and elaborated within the European TEI-SIGand openness.
• Openness: all corpora are open and free access. They can be fully downloaded. CoMeRe follows the OpenData recommandations for research data.

Reference : Chanier,T., Poudat,C., Sagot, B., Antoniadis, G., Wigham,C. R. , Hriba, L.,Longhi, J. & Seddah, D. (2014) « The CoMeRe corpus for French: structuring and annotating heterogeneous CMC genres ». Special issue on « Building And Annotating Corpora Of Computer-Mediated Discourse: Issues and Challenges at the Interface of Corpus and Computational Linguistics ». JLCL (Journal of Language Technology and Computational Linguistics). pp1-31. http://www.jlcl.org/2014_Heft2/Heft2-2014.pdf

CMC genres

List of corpora

• Abendroth-Timmer, D., Bechtel, M., Chanier T. & Ciekanski, M. (2014). Corpus d’apprentissage INFRAL (Interculturel Franco-Allemand en Ligne). Banque de corpus CoMeRe. Ortolang.fr : Nancy. https://hdl.handle.net/11403/comere/cmr-infral

  1 200 blogs messages ; 273 546 tokens ; 26 participants.

• Antoniadis, G (2014). Corpus de SMS réels dans les Alpes, smsalpes .In Chanier T. (ed) Banque de corpus CoMeRe. Ortolang.fr : Nancy. https://hdl.handle.net/11403/comere/cmr-smsalpes.

  22 000 messages / SMS ; 449 000 tokens ; 359 participants.

• Chanier, T. & Audras, I. (2015). Tridem06 corpus: intercultural competence in online exolingual group exchanges, occurring within multimodal synchronous and asynchronous environments, between 3 institutions. CoMeRe corpora repository. Ortolang.fr : Nancy. https://hdl.handle.net/11403/comere/cmr-tridem06

  nbparticipants=62 + 12 groups (tridems) ; This corpus contains a total of 4894 acts classified as follows: 2809 audio acts, 248 chat acts, 1058 production acts, 779 blog messages. It includes 184 594 tokens

• Chanier, T. & Wigham, C.R. (2015). Archi21 corpus: collaborative language and architectural learning in Second Life. Banque de corpus CoMeRe. Ortolang.fr : Nancy. https://hdl.handle.net/11403/comere/cmr-archi21

  nbparticipants=18 + 4 groups ; This corpus contains a total of 4811 acts classified as follows: 1690 audio acts, 669 chat acts, 2452 production (non verbal) acts. It includes 27 912 tokens

• Chanier, T., Reffay, C., Betbeder, M-L., Ciekanski, M. & Lamy, M-N. (2015). Copéas corpus: online language learning within an audiographic environment. CoMeRe corpora repository. Ortolang.fr : Nancy. https://hdl.handle.net/11403/comere/cmr-copeas

  nbparticipants=16 + 2 groups ; This corpus contains a total of 15074 acts classified as follows: 7718 audio acts, 1566 chat acts, 5790 production acts. It includes 127228 tokens

• Falaise, A. (2014). Corpus de français tchaté getalp_org. In Chanier T. (ed) Banque de corpus CoMeRe. Ortolang.fr : Nancy. https://hdl.handle.net/11403/comere/cmr-getalp_org

  5 Millions (M) textchat turns ; 72 M de tokens ; 53 000 participants.

• Ledegen, G.(2014). Grand corpus de SMS smslareunion . In Chanier T. (ed) Banque de corpus CoMeRe. Ortolang : Nancy. https://hdl.handle.net/11403/comere/cmr-smslareunion
  

  12 622 messages / SMS ; 357 192 tokens ; 884 participants.

• Longhi, J., Borzic, B., Alkhouli, A.(2016). #Intermittent: constitution d'un corpus lié à un événement discursif controversé. In Chanier T. (ed) Banque de corpus CoMeRe. Ortolang.fr : Nancy.https://hdl.handle.net/11403/comere/cmr-intermittent

  11 307 messages / tweets ; 215 accounts.

• Longhi, J., Marinica, C., Borzic, B. & Alkhouli, A. (2014). Polititweets, corpus de tweets provenant de comptes politiques influents. In Chanier T. (ed) Banque de corpus CoMeRe. Ortolang.fr : Nancy. https://hdl.handle.net/11403/comere/cmr-polititweets

  34 273 messages / tweets ; 567 851 tokens ; 205 accounts.

• Poudat,C., Grabar , N. Kun, J. & Paloque-Berges, C. (2015). Corpus wikiconflits, conflits dans le Wikipédia francophone. In Chanier T. (ed) Banque de corpus CoMeRe. Ortolang.fr : Nancy. https://hdl.handle.net/11403/comere/cmr-wikiconflits

  7 conflictual topics ; 3971 contributors ; 4456 posts / contributions in discussions ; 489 000 tokens in discussions (articles not counted) ; 330 Mo (7 sub-corpora zip)

• Reffay, C. Chanier, T. Lamy, M.-N. & Betbeder, M.-L. (2014) Corpus d’apprentissage Interactions Simuligne (Simulation en ligne en apprentissage des langues). In Chanier T. (ed.) Banque de corpus CoMeRe. Ortolang.fr : Nancy. https://hdl.handle.net/11403/comere/cmr-simuligne

  11 506 messages (emails, discussion forum, texchat) ; 600 348 tokens ; 67 participants.

• Panckhurst R., Détrie C., Lopez C., Moïse C., Roche M., Verine B. (2016). 88milSMS. A corpus of authentic text messages in French. In Chanier T. (ed) Banque de corpus CoMeRe. Ortolang : Nancy. https://hdl.handle.net/11403/comere/cmr-88milsms

  nbparticipants=422 ; nbmessages=88 522; nbemoticons-emojis=29 563

• Riou, S. & Sagot, B. (2016). Etiquetage morpho-syntaxique du corpus FAVI [corpus]. D'après Yun, H. & Chanier, T. (2014). Corpus d'apprentissage FAVI (Français académique virtuel international) [cmr-favi-tei-v1]. Banque de corpus CoMeRe. Ortolang.fr : Nancy. http://hdl.handle.net/11403/comere/cmr-favi/cmr-favi-tei-v2

  7 780 textchat turns ; 77 605 tokens ; 31 participants ; 29 POS tags.

• Yun, H. & Chanier, T. (2014). Corpus d’apprentissage FAVI (Français académique virtuel international). Banque de corpus CoMeRe. Ortolang.fr : Nancy. https://hdl.handle.net/11403/comere/cmr-favi

  7 780 textchat turns ; 77 605 tokens ; 31 participants.

Documentation

• Fichier décrivant la structure TEI des corpus CoMeRe (format: RNG), tei_cmr.rng
• Page d'accès (site: Wiki TEI-CMC) à la documentation ODD des nouveaux éléments et attributs TEI-CMC utilisé dans les corpus CoMeRe. Le fichier "Tei-cmc-odd.zip" contient :
  • Document décrivant les nouveaux éléments et attributs de TEI-CMC (format: ODD), tei_cmr.odd
  • Documentation du fichier ODD (format: HTML), tei_cmr_doc.html

Credits

Université Blaise Pascal, Clermont : Thierry Chanier, Paul Lotin ; Université de Nice : Céline Poudat ; Ortolang : Kun Jin ; Consortium Corpus-écrits : Linda Hriba ; Université Cergy-Pontoise : Julien Longhi ; Université Rennes 2 : Gudrun Ledegen ; Université Stendhal, Grenoble : Georges Antoniadis ; Université Paris 7 / Inria : Benoit Sagot ; Université Lyon 2 : Ciara Wigham ; CNAM, Paris: Camille Paloques-Berges ; Université Paris 3 : Georgeta Cislaru

Partners

Consortium Corpus-écrits

National Infrastructure for Digital Humanities

Research Unit LRL, Clermont Université

European SIG: TEI for CMC

Digital Research Infrastructure for the Arts and Humanities

Without further notice, this site is under licence :
CoMeRe Repository web site de https://hdl.handle.net/11403/comere est mis à disposition selon les termes de la licence Creative Commons Attribution 4.0 International.
Fondé(e) sur une œuvre à http://comere.org.