Everlyn Chimoto

According to our database, Everlyn Chimoto authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning.

Rita Ramos, Everlyn Asiko Chimoto, Maartje ter Hoeve, Natalie Schluter

CoRR, 2024

State of NLP in Kenya: A Survey.

Cynthia Jayne Amol, Everlyn Asiko Chimoto, Rose Delilah Gesicho, Antony M. Gitau, Naome A. Etori, Caringtone Kinyanjui, Steven Ndung'u, Lawrence Moruye, Samson Otieno Ooko, Kavengi Kitonga, Brian Muhia, Catherine Gitau, Antony Ndolo, Lilian D. A. Wanzare, Albert Njoroge Kahira, Ronald Tombe

CoRR, 2024

Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning.

Everlyn Chimoto, Jay Gala, Orevaoghene Ahia, Julia Kreutzer, Bruce A. Bassett, Sara Hooker

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Towards hate speech detection in low-resource languages: Comparing ASR to acoustic word embeddings on Wolof and Swahili.

Christiaan Jacobs, Nathanaël Carraz Rakotonirina, Everlyn Asiko Chimoto, Bruce A. Bassett, Herman Kamper

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022

Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages.

Idris Abdulmumin, Michael Beukman, Jesujoba O. Alabi, Chris Chinenye Emezue, Everlyn Chimoto, Tosin P. Adewumi, Shamsuddeen Hassan Muhammad, Mofetoluwa Adeyemi, Oreen Yousuf, Sahib Singh, Tajuddeen Gwadabe

Proceedings of the Seventh Conference on Machine Translation, 2022

Very Low Resource Sentence Alignment: Luhya and Swahili.

Everlyn Chimoto, Bruce A. Bassett

Proceedings of the Fifth Workshop on Technologies for Machine Translation of Low-Resource Languages, 2022

COMET-QE and Active Learning for Low-Resource Machine Translation.

Everlyn Chimoto, Bruce A. Bassett

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022