The CoMeRe corpus for French: structuring and annotating heterogeneous CMC genres
Thierry Chanier
(1)
,
Céline Poudat
(2)
,
Benoît Sagot
(3)
,
Georges Antoniadis
(4)
,
Ciara R. Wigham
(5)
,
Linda Hriba
(2)
,
Julien Longhi
(6)
,
Djamé Seddah
(3, 7)
1
LRL -
Laboratoire de Recherche sur le Langage
2 LDI - Lexiques, Dictionnaires, Informatique
3 ALPAGE - Analyse Linguistique Profonde à Grande Echelle ; Large-scale deep linguistic processing
4 LIDILEM - LInguistique et DIdactique des Langues Étrangères et Maternelles
5 ICAR - Interactions, Corpus, Apprentissages, Représentations
6 CRTF - Centre de recherche textes et francophonies
7 ISHA - Institut des Sciences Humaines Appliquées
2 LDI - Lexiques, Dictionnaires, Informatique
3 ALPAGE - Analyse Linguistique Profonde à Grande Echelle ; Large-scale deep linguistic processing
4 LIDILEM - LInguistique et DIdactique des Langues Étrangères et Maternelles
5 ICAR - Interactions, Corpus, Apprentissages, Représentations
6 CRTF - Centre de recherche textes et francophonies
7 ISHA - Institut des Sciences Humaines Appliquées
Thierry Chanier
- Fonction : Auteur
- PersonId : 880
- IdHAL : thierry-chanier
- ORCID : 0000-0002-9232-8809
- IdRef : 155470604
Céline Poudat
- Fonction : Auteur
- PersonId : 6110
- IdHAL : celine-poudat
- IdRef : 113209517
Benoît Sagot
- Fonction : Auteur
- PersonId : 1461
- IdHAL : bsagot
- ORCID : 0000-0002-0107-8526
- IdRef : 177454229
Georges Antoniadis
- Fonction : Auteur
- PersonId : 172422
- IdHAL : georges-antoniadis
- IdRef : 029180090
Ciara R. Wigham
- Fonction : Auteur
- PersonId : 10061
- IdHAL : ciara-r-wigham
- ORCID : 0000-0001-9704-1906
- IdRef : 180756753
Julien Longhi
- Fonction : Auteur
- PersonId : 7150
- IdHAL : julien-longhi
- ORCID : 0000-0002-4134-9888
- IdRef : 121884074
Djamé Seddah
- Fonction : Auteur
- PersonId : 11545
- IdHAL : djameseddah
- IdRef : 086185136
Résumé
The CoMeRe project aims to build a kernel corpus of different Computer-Mediated Com-munication (CMC) genres with interactions in French as the main language, by assembling interactions stemming from networks such as the Internet or telecommunication, as well as mono and multimodal, synchronous and asynchronous communications. Corpora are assem-bled using a standard, thanks to the TEI (Text Encoding Initiative) format. This implies extending, through a European endeavor, the TEI model of text, in order to encompass the richest and the more complex CMC genres. This paper presents the Interaction Space model. We explain how this model has been encoded within the TEI corpus header and body. The model is then instantiated through the first four corpora we have processed: three corpora where interactions occurred in single-modality environments (text chat, or SMS systems) and a fourth corpus where text chat, email and forum modalities were used simultaneously. The CoMeRe project has two main research perspectives: Discourse Analysis, only alluded to in this paper, and the linguistic study of idiolects occurring in different CMC genres. As NLP algorithms are an indispensable prerequisite for such research, we present our motiva-tions for applying an automatic annotation process to the CoMeRe corpora. Our wish to guarantee generic annotations meant we did not consider any processing beyond morphosyn-tactic labelling, but prioritized the automatic annotation of any freely variant elements within the corpora. We then turn to decisions made concerning which annotations to make for which units and describe the processing pipeline for adding these. All CoMeRe corpora are verified, thanks to a staged quality control process, designed to allow corpora to move from one project phase to the next. Public release of the CoMeRe corpora is a short-term goal: corpora will be integrated into the forthcoming French National Reference Corpus, and disseminated through the national linguistic infrastructure ORTOLANG. We, therefore, highlight issues and decisions made concerning the OpenData perspective.
Domaines
LinguistiqueFormat du dépôt | Fichier |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
The CoMeRe corpus for French: structuring and annotating heterogeneous CMC genres
|
Résumé |
en
The CoMeRe project aims to build a kernel corpus of different Computer-Mediated Com-munication (CMC) genres with interactions in French as the main language, by assembling interactions stemming from networks such as the Internet or telecommunication, as well as mono and multimodal, synchronous and asynchronous communications. Corpora are assem-bled using a standard, thanks to the TEI (Text Encoding Initiative) format. This implies extending, through a European endeavor, the TEI model of text, in order to encompass the richest and the more complex CMC genres. This paper presents the Interaction Space model. We explain how this model has been encoded within the TEI corpus header and body. The model is then instantiated through the first four corpora we have processed: three corpora where interactions occurred in single-modality environments (text chat, or SMS systems) and a fourth corpus where text chat, email and forum modalities were used simultaneously. The CoMeRe project has two main research perspectives: Discourse Analysis, only alluded to in this paper, and the linguistic study of idiolects occurring in different CMC genres. As NLP algorithms are an indispensable prerequisite for such research, we present our motiva-tions for applying an automatic annotation process to the CoMeRe corpora. Our wish to guarantee generic annotations meant we did not consider any processing beyond morphosyn-tactic labelling, but prioritized the automatic annotation of any freely variant elements within the corpora. We then turn to decisions made concerning which annotations to make for which units and describe the processing pipeline for adding these. All CoMeRe corpora are verified, thanks to a staged quality control process, designed to allow corpora to move from one project phase to the next. Public release of the CoMeRe corpora is a short-term goal: corpora will be integrated into the forthcoming French National Reference Corpus, and disseminated through the national linguistic infrastructure ORTOLANG. We, therefore, highlight issues and decisions made concerning the OpenData perspective.
|
Auteur(s) |
Thierry Chanier
1
, Céline Poudat
2
, Benoît Sagot
3
, Georges Antoniadis
4
, Ciara R. Wigham
5
, Linda Hriba
2
, Julien Longhi
6
, Djamé Seddah
3, 7
1
LRL -
Laboratoire de Recherche sur le Langage
( 229 )
- Maison des Sciences de l'Homme, 4 rue Ledru, 63057 Clermont-Ferrand Cedex 1
- France
2
LDI -
Lexiques, Dictionnaires, Informatique
( 24509 )
- UFR Lettres, Sciences de l'Homme et des Sociétés, Université Paris 13, 99 avenue Jean-Baptiste Clément, F-93430, Villetaneuse
- France
3
ALPAGE -
Analyse Linguistique Profonde à Grande Echelle ; Large-scale deep linguistic processing
( 54505 )
- Université Paris Diderot, Bât. Olympe de Gouges, case postale 7003, 75205 Paris cedex 13 - INRIA Rocquencourt
- France
4
LIDILEM -
LInguistique et DIdactique des Langues Étrangères et Maternelles
( 26828 )
- Bâtiment Stendhal - CS40700 - 38058 Grenoble cedex 9
- France
5
ICAR -
Interactions, Corpus, Apprentissages, Représentations
( 51028 )
- 5, av Pierre Mendès-France 69676 BRON CEDEX
- France
6
CRTF -
Centre de recherche textes et francophonies
( 156391 )
- Université de Cergy-Pontoise - 33, boulevard du Port - 95011 Cergy-Pontoise cedex
- France
7
ISHA -
Institut des Sciences Humaines Appliquées
( 179257 )
- Maison de la Recherche 28 rue Serpente 75006 Paris
- France
|
Commentaire |
Final version to Special Issue of JLCL (Journal of Language Technology and Computational Linguistics (JLCL, http://jlcl.org/): BUILDING AND ANNOTATING CORPORA OF COMPUTER-MEDIATED DISCOURSE: Issues and Challenges at the Interface of Corpus and Computational Linguistics (ed. by Michael Beißwenger, Nelleke Oostdijk, Angelika Storrer & Henk van den Heuvel)
|
URL éditeur |
http://www.jlcl.org/2014_Heft2/Heft2-2014.pdf
|
Page/Identifiant |
1-30
|
Numéro |
2
|
Volume |
29
|
Date de production/écriture |
2014-09-12
|
Nom de la revue |
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Date de publication |
2014
|
Langue du document |
Anglais
|
Domaine(s) |
|
Collaboration/Projet |
|
Mots-clés |
en
Computer Mediated Communication, corpus, CoMeRe, CMC
|
Origine :
Fichiers produits par l'(les) auteur(s)
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