mlsanityData to 14 Oct 2026

Enhancing Translation for Indigenous Languages: Experiments with Multilingual Models

arXiv 2305.17406 ↗First posted 27 May 2023cs.CLcited by 4

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Abstract (arXiv)

This paper describes CIC NLP's submission to the AmericasNLP 2023 Shared Task on machine translation systems for indigenous languages of the Americas. We present the system descriptions for three methods. We used two multilingual models, namely M2M-100 and mBART50, and one bilingual (one-to-one) -- Helsinki NLP Spanish-English translation model, and experimented with different transfer learning setups. We experimented with 11 languages from America and report the setups we used as well as the results we achieved. Overall, the mBART setup was able to improve upon the baseline for three out of the eleven languages.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 11 of its 46 references that are in the map. First posted on arXiv 27 May 2023.

Builds on

11 of 46 references.

References · 11

  1. 2020Beyond English-Centric Multilingual Machine Translationcited by 561
  2. 2019How to Fine-Tune BERT for Text Classification?cited by 411
  3. 2021Pre-Trained Models: Past, Present and Futurecited by 319
  4. 2020Multilingual Translation with Extensible Multilingual Pretraining and Finetuningcited by 287
  5. 2018Marian: Fast Neural Machine Translation in C++cited by 203
  6. 2016Transfer Learning for Low-Resource Neural Machine Translationcited by 188
  7. 2020The Tatoeba Translation Challenge -- Realistic Data Sets for Low Resource and Multilingual MTcited by 128
  8. 2021Survey of Low-Resource Machine Translationcited by 92
  9. 2021AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languagescited by 50
  10. 2022Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learningcited by 19
  11. 2021Lesan -- Machine Translation for Low Resource Languagescited by 5

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 2; 2025: 0; 2026: 2.

4 papers.

  1. 2024NLP Progress in Indigenous Latin American Languagescited by 4
  2. 2026Improving Indigenous Language Machine Translation with Synthetic Data and Language-Specific Preprocessingcited by 2
  3. 2026Retrieval-Augmented Long-Context Translation for Cultural Image Captioning: Gators submission for AmericasNLP 2026 shared taskcited by 1
  4. 2024Misgendering and Assuming Gender in Machine Translation when Working with Low-Resource Languagescited by 0