@inproceedings{hylak-2024-language,
title = "Language Technology for All: Industry Initiatives to Serve Low Resource Languages",
author = "Hylak, Blaise",
editor = "Martindale, Marianna and
Campbell, Janice and
Savenkov, Konstantin and
Goel, Shivali",
booktitle = "Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 2: Presentations)",
month = sep,
year = "2024",
address = "Chicago, USA",
publisher = "Association for Machine Translation in the Americas",
url = "https://aclanthology.org/2024.amta-presentations.18",
pages = "258--258",
abstract = "In an increasingly globalized world, language localization tools have become indispensable. However, there is a glaring disparity in the distribution of these resources. While English and other dominant languages benefit from advanced machine translation (MT) technologies and Large Language Models (LLM), many languages remain marginalized. Luckily, there are some initiatives underway to address this concern. This research aims to explore the development of language technology tools for low resource languages. The study evaluates organizations{'} efforts to develop language resource data/tools for low resource languages with regards to machine translation (MT), speech-to-speech translation (S2ST), and what the outlook may be for the future.",
}
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<abstract>In an increasingly globalized world, language localization tools have become indispensable. However, there is a glaring disparity in the distribution of these resources. While English and other dominant languages benefit from advanced machine translation (MT) technologies and Large Language Models (LLM), many languages remain marginalized. Luckily, there are some initiatives underway to address this concern. This research aims to explore the development of language technology tools for low resource languages. The study evaluates organizations’ efforts to develop language resource data/tools for low resource languages with regards to machine translation (MT), speech-to-speech translation (S2ST), and what the outlook may be for the future.</abstract>
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%0 Conference Proceedings
%T Language Technology for All: Industry Initiatives to Serve Low Resource Languages
%A Hylak, Blaise
%Y Martindale, Marianna
%Y Campbell, Janice
%Y Savenkov, Konstantin
%Y Goel, Shivali
%S Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 2: Presentations)
%D 2024
%8 September
%I Association for Machine Translation in the Americas
%C Chicago, USA
%F hylak-2024-language
%X In an increasingly globalized world, language localization tools have become indispensable. However, there is a glaring disparity in the distribution of these resources. While English and other dominant languages benefit from advanced machine translation (MT) technologies and Large Language Models (LLM), many languages remain marginalized. Luckily, there are some initiatives underway to address this concern. This research aims to explore the development of language technology tools for low resource languages. The study evaluates organizations’ efforts to develop language resource data/tools for low resource languages with regards to machine translation (MT), speech-to-speech translation (S2ST), and what the outlook may be for the future.
%U https://aclanthology.org/2024.amta-presentations.18
%P 258-258
Markdown (Informal)
[Language Technology for All: Industry Initiatives to Serve Low Resource Languages](https://aclanthology.org/2024.amta-presentations.18) (Hylak, AMTA 2024)
ACL