CLAPI, une base de données multimodale pour la parole en interaction : apports et dilemmes

Dans cette contribution, nous présentons la base CLAPI développée au laboratoire ICAR dans le contexte de l’évolution des bases de données de langues parlées en France au cours des trente dernières années. Nous détaillons les deux composantes de CLAPI, l’archive de corpus de langue parlée en interaction audio et vidéo enregistrés dans des situations sociales naturelles variées, et la plateforme d’outils.L’usage et l’apport de CLAPI sont illustrés par deux études. L’une décrit comment la base peut être utilisée pour des travaux de linguistique interactionnelle intégrant la multimodalité (« oh là là ») ; l’autre concerne une recherche combinant données et métadonnées (« trop »). L’article est aussi l’occasion d’un bilan plus général. La mise en perspective montre en effet qu’après la période des questions est venue celle des dilemmes. La période des questions, choix et décisions à toutes sortes de niveaux a accompagné la mise en place des bases de données. L’expérience permet maintenant de mesurer leurs indéniables apports en termes non seulement de quantité de données disponibles (et traitables grâce aux outils), mais aussi de qualité (comme conséquence des exigences de standardisation liées au partage des données). La période des dilemmes nous conduit à nous interroger sur les meilleurs choix à opérer aujourd’hui dans les relations entre la poursuite des recherches sur des corpus variés (et parfois sensibles) et les exigences des bases de données ouvertes.In this contribution, we present the development of the CLAPI by the ICAR Lab in the context of the evolution of the databases of spoken languages in France during the last thirty years. We describe the two components of CLAPI, the archive of corpus of spoken languages in interaction, audio and video, recorded in varied naturally-occurring social situations, and the plateform of tools.The use and the support of CLAPI the research are shown out of two studies. One illustrates how the database can be used for working in an interactional linguistic perspective, including multimodality (“oh là là”); the other concerns a research combining data and metadata (“trop”).The article is also the occasion of a more general assessment. The perspective on the last thirty years shows that after a period of questions came that of dilemmas. The period of questions, choices and decisions at various levels accompanied the implementation of the databases. The experience enables now to measure their undeniable contributions in terms not only of quantity of available data (and possibly dealt with supported by the tools), but also of quality of the data (as a consequence of the requirements of standardization linked to the needs of sharing the data). The period of the dilemmas leads us to wonder about the best choices to be operated today among continuing research on varied corpuses (sometimes delicate) and the requirements of the databases

Conversation analysis and online interaction

At the same time as Harvey Sacks was developing conversation analysis (CA), at the same institution a young graduate student attempted to type the word “login” into a computer; this message would then be sent to another computer in a different lab. Unfortunately the system crashed after the letters ‘L’ and ‘O’ were sent, and so the first word to be sent via the internet (or at least the pre-cursor to it) was ‘LO’ or perhaps, if we want to read it as such, ‘hello’. The fact that the first message sent via the ‘internet’ was, somewhat accidentally, a standard greeting is a foreshadowing of the fact that the internet has become a predominantly interactional medium. Online communication has grown exponentially since that first message. There are currently an estimated 269 billion e-mails, 55 billion Whatsapp messages, over 9.5 billion Instagram photos and videos, and around 500 million tweets sent per day. Online interaction is a worldwide phenomenon, with users of Chinese social media site, Weibo, sending over 100 million messages each day and about 38 billion messages sent every day on WeChat, the Chinese instant messaging service. As conversation analysts are interested in interaction as the primordial site of sociality, the internet is an enormous and ever-growing site of interaction, and as such should be a clear focus for exploring social life. This review provides an overview of what we already know from studies of CA and online interaction. It will argue that going forward there should be more impetus to explore this area of interaction, not only in its own right but also for what it tells us about human interaction more generally. This paper will show how CA can offer real insight into the organization of online interaction, particularly in relation to the potential affordances and constraints of the interaction