Automatic Speech Recognition Advancements for Indigenous Languages of the Americas [PDF]
Applied SciencesIndigenous languages are a fundamental legacy in the development of human communication, embodying the unique identity and culture of local communities in America.
Monica Romero +2 more
doaj +2 more sources
AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas. [PDF]
Front Artif Intell, 2022 Little attention has been paid to the development of human language technology for truly low-resource languages—i.e., languages with limited amounts of digitally available text data, such as Indigenous languages.
Kann K +17 more
europepmc +3 more sources
A protocol for a systematic literature review: comparing the impact of seasonal and meteorological parameters on acute respiratory infections in Indigenous and non-Indigenous peoples. [PDF]
Syst Rev, 2017 Background: Acute respiratory infections (ARI) are a leading cause of morbidity and mortality globally, and are often linked to seasonal and/or meteorological conditions.
Bishop-Williams KE +5 more
europepmc +4 more sources
Revisiting the Diego Blood Group System in Amerindians: Evidence for Gene-Culture Comigration. [PDF]
PLoS One, 2015 International audienceSix decades ago the DI*A allele of the Diego blood group system was instrumental in proving Native American populations originated from Siberia. Since then, it has received scant attention.
Bégat C +3 more
europepmc +8 more sources
Foodways in transition: food plants, diet and local perceptions of change in a Costa Rican Ngäbe community. [PDF]
J Ethnobiol Ethnomed, 2016 Background Indigenous populations are undergoing rapid ethnobiological, nutritional and socioeconomic transitions while being increasingly integrated into modernizing societies. To better understand the dynamics of these transitions, this article aims
D'Ambrosio U, Puri RK.
europepmc +3 more sources
Evaluating Self-Supervised Speech Representations for Indigenous American Languages [PDF]
International Conference on Language Resources and Evaluation, 2023 The application of self-supervision to speech representation learning has garnered significant interest in recent years, due to its scalability to large amounts of unlabeled data.
Chih-Chen Chen +3 more
semanticscholar +1 more source
Low-Resource Machine Translation Using Cross-Lingual Language Model Pretraining
AMERICASNLP, 2021 This paper describes UTokyo’s submission to the AmericasNLP 2021 Shared Task on machine translation systems for indigenous languages of the Americas.
Francis Zheng +3 more
semanticscholar +1 more source
Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models [PDF]
Conference of the European Chapter of the Association for Computational Linguistics, 2023 Large multilingual models have inspired a new class of word alignment methods, which work well for the model’s pretraining languages. However, the languages most in need of automatic alignment are low-resource and, thus, not typically included in the ...
Abteen Ebrahimi +7 more
semanticscholar +1 more source
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 We present Video-LLaMA a multi-modal framework that empowers Large Language Models (LLMs) with the capability of understanding both visual and auditory content in the video.
Hang Zhang, Xin Li, Lidong Bing
semanticscholar +1 more source
Is ChatGPT a General-Purpose Natural Language Processing Task Solver? [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 Spurred by advancements in scale, large language models (LLMs) have demonstrated the ability to perform a variety of natural language processing (NLP) tasks zero-shot -- i.e., without adaptation on downstream data.
Chengwei Qin +5 more
semanticscholar +1 more source