Envisioning NLP for Intercultural Climate Communication

Steven Bird, Angelina Aquino, Ian Mongunu Gumbula

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review

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Abstract

Climate communication is often seen by the NLP community as an opportunity for machine translation, applied to ever smaller languages. However, over 90% the world’s linguistic diversity comes from languages with ‘primary orality’ and mostly spoken in non-Western oral societies. A case in point is the Aboriginal communities of Northern Australia, where we have been conducting workshops on climate communication, revealing shortcomings in existing communication practices along with new opportunities for improving intercultural communication. We present a case study of climate communication in an oral society, including the voices of many local people, and draw several lessons for the research program of NLP in the climate space.

Original languageEnglish
Title of host publicationClimateNLP 2024 - 1st Workshop on Natural Language Processing Meets Climate Change, Proceedings of the Workshop
EditorsDominik Stammbach, Jingwei Ni, Tobias Schimanski, Kalyan Dutia, Alok Singh, Julia Bingler, Christophe Christiaen, Neetu Kushwaha, Veruska Muccione, Saeid A. Vaghefi, Markus Leippold
PublisherAssociation for Computational Linguistics (ACL)
Pages111-122
Number of pages12
Edition1
ISBN (Electronic)9798891761599
DOIs
Publication statusPublished - Jun 2024
Event1st Workshop on Natural Language Processing Meets Climate Change, ClimateNLP 2024 - Bangkok, Thailand
Duration: 16 Aug 2024 → …

Publication series

NameClimateNLP 2024 - 1st Workshop on Natural Language Processing Meets Climate Change, Proceedings of the Workshop

Conference

Conference1st Workshop on Natural Language Processing Meets Climate Change, ClimateNLP 2024
Country/TerritoryThailand
CityBangkok
Period16/08/24 → …

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