The Indigenous Languages Technology project at NRC Canada: An empowerment-oriented approach to developing language software
The Indigenous Languages Technology project at NRC Canada: An empowerment-oriented approach to developing language software
复制标题
加拿大 NRC 的土著语言技术项目:以赋权为导向的语言软件开发方法
DOI:
10.18653/v1/2020.coling-main.516
复制
发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Heather Souter
中科院分区:
文献类型:
--
作者:
R. Kuhn;Fineen Davis;Alain Désilets;E. Joanis;Anna Kazantseva;Rebecca Knowles;Patrick Littell;Delaney Lothian;Aidan Pine;Caroline Running Wolf;E. Santos;Darlene A. Stewart;Gilles Boulianne;Vishwa Gupta;Brian Maracle Owennatékha;Akwiratékha’ Martin;Christopher Cox;M. Junker;Olivia N. Sammons;D. Torkornoo;Nathan Thanyehténhas Brinklow;Sara Child;Benoit Farley;David Huggins;Daisy Rosenblum;Heather Souter
This paper surveys the first, three-year phase of a project at the National Research Council of Canada that is developing software to assist Indigenous communities in Canada in preserving their languages and extending their use. The project aimed to work within the empowerment paradigm, where collaboration with communities and fulfillment of their goals is central. Since many of the technologies we developed were in response to community needs, the project ended up as a collection of diverse subprojects, including the creation of a sophisticated framework for building verb conjugators for highly inflectional polysynthetic languages (such as Kanyen’kéha, in the Iroquoian language family), release of what is probably the largest available corpus of sentences in a polysynthetic language (Inuktut) aligned with English sentences and experiments with machine translation (MT) systems trained on this corpus, free online services based on automatic speech recognition (ASR) for easing the transcription bottleneck for recordings of speech in Indigenous languages (and other languages), software for implementing text prediction and read-along audiobooks for Indigenous languages, and several other subprojects.