Participatory research for low-resourced machine translation: A case study in african languages
W Nekoto, V Marivate, T Matsila, T Fasubaa… - arXiv preprint arXiv …, 2020 - arxiv.org
Research in NLP lacks geographic diversity, and the question of how NLP can be scaled to
low-resourced languages has not yet been adequately solved." Low-resourced"-ness is a …
low-resourced languages has not yet been adequately solved." Low-resourced"-ness is a …
Aya dataset: An open-access collection for multilingual instruction tuning
S Singh, F Vargus, D Dsouza, BF Karlsson… - arXiv preprint arXiv …, 2024 - arxiv.org
Datasets are foundational to many breakthroughs in modern artificial intelligence. Many
recent achievements in the space of natural language processing (NLP) can be attributed to …
recent achievements in the space of natural language processing (NLP) can be attributed to …
Evolving technologies for language learning
R Godwin-Jones - 2021 - scholarspace.manoa.hawaii.edu
This column traces the evolution of electronic resources for language learning over the past
25 years, focusing on the arrival and transformation of the “world wide web”, the dramatic …
25 years, focusing on the arrival and transformation of the “world wide web”, the dramatic …
Feeling proud, feeling embarrassed: Experiences of low-income women with crowd work
Women's economic empowerment is central to gender equality. However, work
opportunities available to low-income women in patriarchal societies are infrequent. While …
opportunities available to low-income women in patriarchal societies are infrequent. While …
Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology
Existing research in measuring and mitigating gender bias predominantly centers on
English, overlooking the intricate challenges posed by non-English languages and the …
English, overlooking the intricate challenges posed by non-English languages and the …
Predicting the performance of multilingual nlp models
Recent advancements in NLP have given us models like mBERT and XLMR that can serve
over 100 languages. The languages that these models are evaluated on, however, are very …
over 100 languages. The languages that these models are evaluated on, however, are very …
Assessing digital language support on a global scale
GF Simons, AL Thomas, CK White - arXiv preprint arXiv:2209.13515, 2022 - arxiv.org
The users of endangered languages struggle to thrive in a digitally-mediated world. We
have developed an automated method for assessing how well every language recognized …
have developed an automated method for assessing how well every language recognized …
Situating Automatic Speech Recognition Development within Communities of Under-heard Language Speakers
In this paper we develop approaches to automatic speech recognition (ASR) development
that suit the needs and functions of under-heard language speakers. Our novel contribution …
that suit the needs and functions of under-heard language speakers. Our novel contribution …
[HTML][HTML] Towards language sensitivity and diversity in the digital humanities
PJ Spence, R Brandao - Digital Studies/Le champ numérique, 2021 - digitalstudies.org
Recent years have seen a growing focus on diversity in the digital humanities, and yet there
has been rather less work on geolinguistic diversity, and the research which has been …
has been rather less work on geolinguistic diversity, and the research which has been …
Intent identification and entity extraction for healthcare queries in indic languages
Scarcity of data and technological limitations for resource-poor languages in developing
countries like India poses a threat to the development of sophisticated NLU systems for …
countries like India poses a threat to the development of sophisticated NLU systems for …