Zusammenfassung
Bisher war der Bereich des computergestützten Fremdspracherwerbs, ob dialogbasiert oder nicht, hauptsächlich in der Theorie des Fremdspracherwerbs verankert, die ihren Ursprung in der Forschung des Sprachunterrichts hat. Dementsprechend orientieren sich die Benutzermodelle am Verhalten der Schüler im Sprachunterricht, und die Systemmodelle sollen den Sprachlehrer in der einen oder anderen Form simulieren. Allerdings zeigen die neusten Untersuchungen in der Konversationsanalyse, dass zum einen der Fremdspracherwerb bei Weitem nicht nur in den Formen stattfindet, die wir aus dem Sprachunterricht kennen, und zum anderen, dass die Sprachvarianz im Unterricht sehr beschränkt ist. Diese Beschränkung ist hauptsächlich durch die sozialen Identitäten der Lehrer und Schüler gegeben. Sie bestimmen, welche Typen von sozialen Aktionen, die wir in der Sprache zum Ausdruck bringen, angemessen sind. Dieser Artikel argumentiert, dass eine intensivere Kooperation zwischen Sprachtechnologie und Konversationsanalyse erforderlich ist, um Dialogsysteme zu entwickeln, die sich in ihrer Qualität menschlicher Interaktion nähern. Es werden Vorschläge gemacht, wie man dieses anspruchsvolle Ziel erreichen könnte. Die Datenqualität spielt dabei eine besondere Rolle.
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Höhn, S. (2020). Wir unterrichten die Maschinen, die Maschinen unterrichten uns. In: Klimczak, P., Petersen, C., Schilling, S. (eds) Maschinen der Kommunikation. ars digitalis. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-27852-6_5
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