mlsanityData to 7 Oct 2026

EthioMT: Parallel Corpus for Low-resource Ethiopian Languages

arXiv 2403.19365 ↗First posted 28 Mar 2024cs.CLcited by 1

Not on the map. Why?

Abstract (arXiv)

Recent research in natural language processing (NLP) has achieved impressive performance in tasks such as machine translation (MT), news classification, and question-answering in high-resource languages. However, the performance of MT leaves much to be desired for low-resource languages. This is due to the smaller size of available parallel corpora in these languages, if such corpora are available at all. NLP in Ethiopian languages suffers from the same issues due to the unavailability of publicly accessible datasets for NLP tasks, including MT. To help the research community and foster research for Ethiopian languages, we introduce EthioMT -- a new parallel corpus for 15 languages. We also create a new benchmark by collecting a dataset for better-researched languages in Ethiopia. We evaluate the newly collected corpus and the benchmark dataset for 23 Ethiopian languages using transformer and fine-tuning approaches.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 15 of its 43 references that are in the map. First posted on arXiv 28 Mar 2024.

Builds on

15 of 43 references.

References · 15

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018A Call for Clarity in Reporting BLEU Scorescited by 1,790
  3. 2022No Language Left Behind: Scaling Human-Centered Machine Translationcited by 1,290
  4. 2020The State and Fate of Linguistic Diversity and Inclusion in the NLP Worldcited by 789
  5. 2020Beyond English-Centric Multilingual Machine Translationcited by 559
  6. 2021The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translationcited by 556
  7. 2021Neural Machine Translation for Low-Resource Languages: A Surveycited by 108
  8. 2022Towards Afrocentric NLP for African Languages: Where We Are and Where We Can Gocited by 46
  9. 2019Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communitiescited by 19
  10. 2020Low Resource Neural Machine Translation: A Benchmark for Five African Languagescited by 15
  11. 2021Extended Parallel Corpus for Amharic-English Machine Translationcited by 10
  12. 2021An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translationcited by 6
3 more
  1. 2021Crowdsourcing Parallel Corpus for English-Oromo Neural Machine Translation using Community Engagement Platformcited by 4
  2. 2023Parallel Corpus for Indigenous Language Translation: Spanish-Mazatec and Spanish-Mixteccited by 4
  3. 2020Evaluating Amharic Machine Translationcited by 3

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.

  1. 2025The State of Large Language Models for African Languages: Progress and Challengescited by 7