Findings of the AmericasNLP 2021 shared task on open machine translation for indigenous languages of the Americas
This paper presents the results of the 2021 Shared Task on Open Machine Translation for
Indigenous Languages of the Americas. The shared task featured two independent tracks …
Indigenous Languages of the Americas. The shared task featured two independent tracks …
AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas
Little attention has been paid to the development of human language technology for truly
low-resource languages—ie, languages with limited amounts of digitally available text data …
low-resource languages—ie, languages with limited amounts of digitally available text data …
Neural machine translation for the indigenous languages of the Americas: An introduction
Neural models have drastically advanced state of the art for machine translation (MT)
between high-resource languages. Traditionally, these models rely on large amounts of …
between high-resource languages. Traditionally, these models rely on large amounts of …
NLP Progress in Indigenous Latin American Languages
The paper focuses on the marginalization of indigenous language communities in the face
of rapid technological advancements. We highlight the cultural richness of these languages …
of rapid technological advancements. We highlight the cultural richness of these languages …
Fixing Rogue Memorization in Many-to-One Multilingual Translators of Extremely-Low-Resource Languages by Rephrasing Training Samples
P Cavalin, PH Domingues, C Pinhanez… - Proceedings of the …, 2024 - aclanthology.org
In this paper we study the fine-tuning of pre-trained large high-resource language models
(LLMs) into many-to-one multilingual machine translators for extremely-low-resource …
(LLMs) into many-to-one multilingual machine translators for extremely-low-resource …