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        <title>Data-mining and Extraction: the gold rush of AI on Indigenous Languages</title>
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    <abstract>The goal of this paper is to start a discussion on the topic of Data mining and Extraction of Indigenous Language data, describing recent events that took place within the Algonquian Dictionaries and Language Resources common infrastructure. We raise questions about ethics, social context, vulnerability, responsibility, and societal benefits and concerns in the age of generative AI.</abstract>
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%0 Conference Proceedings
%T Data-mining and Extraction: the gold rush of AI on Indigenous Languages
%A Junker, Marie-Odile
%Y Moeller, Sarah
%Y Agyapong, Godfred
%Y Arppe, Antti
%Y Chaudhary, Aditi
%Y Rijhwani, Shruti
%Y Cox, Christopher
%Y Henke, Ryan
%Y Palmer, Alexis
%Y Rosenblum, Daisy
%Y Schwartz, Lane
%S Proceedings of the Seventh Workshop on the Use of Computational Methods in the Study of Endangered Languages
%D 2024
%8 March
%I Association for Computational Linguistics
%C St. Julians, Malta
%F junker-2024-data
%X The goal of this paper is to start a discussion on the topic of Data mining and Extraction of Indigenous Language data, describing recent events that took place within the Algonquian Dictionaries and Language Resources common infrastructure. We raise questions about ethics, social context, vulnerability, responsibility, and societal benefits and concerns in the age of generative AI.
%U https://aclanthology.org/2024.computel-1.8/
%P 52-57

Markdown (Informal)

[Data-mining and Extraction: the gold rush of AI on Indigenous Languages](https://aclanthology.org/2024.computel-1.8/) (Junker, ComputEL 2024)

• Data-mining and Extraction: the gold rush of AI on Indigenous Languages (Junker, ComputEL 2024)

ACL

• Marie-Odile Junker. 2024. Data-mining and Extraction: the gold rush of AI on Indigenous Languages. In Proceedings of the Seventh Workshop on the Use of Computational Methods in the Study of Endangered Languages, pages 52–57, St. Julians, Malta. Association for Computational Linguistics.