Indigenous language technologies in Canada: assessment, challenges, and successes

From National Research Council Canada

Download	View accepted manuscript: Indigenous language technologies in Canada: assessment, challenges, and successes (PDF, 605 KiB)
Link	http://aclweb.org/anthology/C18-1222
Author	Search for: Littell, Patrick¹; Search for: Kazantseva, Anna¹; Search for: Kuhn, Roland¹; Search for: Pine, Aidan¹; Search for: Arppe, Antti; Search for: Cox, Christopher; Search for: Junker, Marie-Odile
Affiliation	National Research Council of Canada. Digital Technologies
Format	Text, Article
Conference	27th International Conference on Computational Linguistics, August 20-26, 2018, Santa Fe, New Mexico, USA
Abstract	In this article, we discuss which text, speech, and image technologies have been developed, and would be feasible to develop, for the approximately 60 Indigenous languages spoken in Canada. In particular, we concentrate on technologies that may be feasible to develop for most or all of these languages, not just those that may be feasible for the few most-resourced of these. We assess past achievements and consider future horizons for Indigenous language transliteration, text prediction, spell-checking, approximate search, machine translation, speech recognition, speaker diarization, speech synthesis, optical character recognition, and computer-aided language learning.
Publication date	2018-08-26
Publisher	Association for Computational Linguistics
In	Proceedings of the 27th International Conference on Computational Linguistics: 2620–2631.
Language	English
Peer reviewed	Yes
NPARC number	23003990
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Record identifier	fb46809a-7c06-403a-bd8d-f4437030ef51
Record created	2018-09-11
Record modified	2020-06-03

Date modified:: 2024-10-09