Building Intelligent Digitial Assistants for Speakers of a Lesser-Resourced Language
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Documents
- 2016 Building intelligent
Final published version, 455 KB, PDF document
Licence: CC BY-NC Show licence
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- http://www.lrec-conf.org/proceedings/lrec2016/workshops/LREC2016Workshop-CCURL2016_Proceedings.pdf
Final published version
Licence: CC BY-NC Show licence
This paper reports on the work to develop intelligent digital assistants for speakers of a lesser-resourced language, namely Welsh. Such assistants provided by commercial vendors such as Apple (Siri), Amazon (Alexa), Microsoft (Cortana) and Google (Google Now) are allowing users increasingly to speak in natural English with their devices and computers in order to complete tasks, obtain assistance and request information. We demonstrate how these systems’ architectures do not provide the means for external developers to build intelligent speech interfaces for additional languages, which, in the case of less resourced languages, are likely to remain unsupported.
Consequently we document how such an obstacle has been tackled with open alternatives. The paper highlights how previous work on Welsh language speech recognition were improved, utilized and integrated into an existing open source intelligent digital assistant software project. The paper discusses how this work hopes to stimulate further developments and include Welsh and other lesser resourced languages in as many developments of intelligent digital assistants as possible.
Consequently we document how such an obstacle has been tackled with open alternatives. The paper highlights how previous work on Welsh language speech recognition were improved, utilized and integrated into an existing open source intelligent digital assistant software project. The paper discusses how this work hopes to stimulate further developments and include Welsh and other lesser resourced languages in as many developments of intelligent digital assistants as possible.
Original language | English |
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Title of host publication | Proceedings of the LREC 2016 Workshop “CCURL 2016 – Towards an Alliance for Digital Language Diversity” |
Editors | Claudia Soria, Laurette Pretorius, Thierry Declerck, Joseph Mariani, Kevin Scannell, Eveline Wandl-Vogt |
Pages | 74-79 |
Publication status | Published - 23 May 2016 |
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