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Citation in TalaMT: Multilingual Machine Translation for Cabécar-Bribri-Spanish (Jones et al., MRL-WS 2023)
Say It Right: AI Neural Machine Translation Empowers New Speakers To Revitalize Lemko cited in December 2023 by Jones and Coto-Solano of Dartmouth College, as well as González Campos of University of Costa Rica in TalaMT: Multilingual Machine Translation for Cab.car-Bribri-Spanish in the Proceedings of the 3rd Multilingual Representation Learning Workshop in Singapore.
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BLEU Skies for Endangered Language Revitalization: Lemko Rusyn and Ukrainian Neural AI Translation Accuracy Soars
Abstract Accelerating global language loss, associated with elevated incidence of illicit substance use, type 2 diabetes, binge drinking, and assault, as well as sixfold higher youth suicide rates, poses a mounting challenge for minority, Indigenous, refugee, colonized, and immigrant communities. In environments where intergenerational transmission is often disrupted, artificial intelligence neural machine translation systems have…
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Say It Right: AI Neural Machine Translation Empowers New Speakers To Revitalize Lemko
Abstract Artificial-intelligence powered neural machine translation might soon resuscitate endangered languages by empowering new speakers to communicate in real time using sentences quantifiably closer to the literary norm than those of native speakers, and starting from day one of their language reclamation journey. While Silicon Valley has been investing enormous resources into neural translation technology…
