Петро Оринич ⟨Petro Orynycz⟩
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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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Winning Hearts & Tongues: A Polish to Lemko Case Study
When minority and local languages are lost, national security suffers: not only are significant increases in suicidality, depression, diabetes, assault, and substance abuse often documented, a void is created that has historically been exploited by adversaries. For example, millions from minority language communities ahistorically assume the Russian language and/or identity as their own…
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Presentation at HCI International 2022
Looking forward to speaking at the HCI International 2022 Conference in Gothenburg, Sweden today and presenting my new paper Say It Right: AI Neural Machine Translation Empowers New Speakers to Revitalize Lemko during session S143: Artificial and Augmented Intelligence Applications on Language Text and Speech Related Tasks. Paper in conference proceedings: https://link.springer.com/chapter/10.1007/978-3-031-05643-7_37 Please cite as:Orynycz, P.…
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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…
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New Experiment: Lab-Made Lemko?
A new experiment tests the hypothesis that a machine can translate into the endangered language of Lemko.
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AI Neural Machine Translation in Multilingual Training Presented at I/ITSEC 2021
What an honor to present the breakthroughs in our paper Yes I Speak… AI Neural Machine Translation in Multilingual Training at I/ITSEC 2021, the world’s largest modeling, simulation, and training conference, with 13,000 in-person attendees from 47 countries representing governments, universities, corporations and militaries, including including United States Marine Corps Commandant General David Berger and…
