Abstract
In this paper, we use multilingual Natural Language Processing (NLP) tools to improve the reading experience of parallel texts on mobile devices. Such enterprise poses multiple challenging issues both from the NLP and from the Human Computer Interaction (HCI) perspectives. We discuss these problems, and report on our own solutions, now implemented in a full-fledged bilingual reading device.
Cite
CITATION STYLE
Yvon, F., Xu, Y., Apidianaki, M., Pillias, C., & Cubaud, P. (2016). Transread: Designing a bilingual reading experience with machine translation technologies. In NAACL-HLT 2016 - 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Demonstrations Session (pp. 27–31). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/n16-3006
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