Abstract
A training and test set for a dialogue system in the form of linked questions and responses is translated from English into Tamil. Accuracy of identifying an appropriate response in Tamil is 79%, compared to the English accuracy of 89%, suggesting that translation can be useful to start up a dialogue system. Machine translation of Tamil inputs into English also results in 79% accuracy. However, machine translation of the English training data into Tamil results in a drop in accuracy to 54% when tested on manually authored Tamil, indicating that there is still a large gap before machine translated dialogue systems can interact with human users.
Cite
CITATION STYLE
Ravi, S., & Artstein, R. (2016). Language Portability for Dialogue Systems: Translating a Question-Answering System from English into Tamil. In SIGDIAL 2016 - 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Proceedings of the Conference (pp. 111–116). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w16-3614
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