mlsanityData to 7 Oct 2026

A Tulu Resource for Machine Translation

arXiv 2403.19142 ↗First posted 28 Mar 2024cs.CLcited by 4

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Abstract (arXiv)

We present the first parallel dataset for English-Tulu translation. Tulu, classified within the South Dravidian linguistic family branch, is predominantly spoken by approximately 2.5 million individuals in southwestern India. Our dataset is constructed by integrating human translations into the multilingual machine translation resource FLORES-200. Furthermore, we use this dataset for evaluation purposes in developing our English-Tulu machine translation model. For the model's training, we leverage resources available for related South Dravidian languages. We adopt a transfer learning approach that exploits similarities between high-resource and low-resource languages. This method enables the training of a machine translation system even in the absence of parallel data between the source and target language, thereby overcoming a significant obstacle in machine translation development for low-resource languages. Our English-Tulu system, trained without using parallel English-Tulu data, outperforms Google Translate by 19 BLEU points (in September 2023). The dataset and code are available here: https://github.com/manunarayanan/Tulu-NMT.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 21 of its 45 references that are in the map. First posted on arXiv 28 Mar 2024.

Builds on

21 of 45 references.

References · 21

  1. 2017Attention Is All You Needcited by 59,932
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9 more
  1. 2017Unsupervised Neural Machine Translationcited by 148
  2. 2021Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languagescited by 133
  3. 2020A Theoretical Analysis of the Repetition Problem in Text Generationcited by 83
  4. 2022Not always about you: Prioritizing community needs when developing endangered language technologycited by 21
  5. 2021Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Datacited by 17
  6. 2020Low Resource Neural Machine Translation: A Benchmark for Five African Languagescited by 15
  7. 2021YANMTT: Yet Another Neural Machine Translation Toolkitcited by 7
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  9. 2021Designing Language Technologies for Social Good: The Road not Takencited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 1.

4 papers.

  1. 2024Amuro and Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Modelscited by 9
  2. 2025Bhaasha, Bhasa, Zaban: A Survey for Low-Resourced Languages in South Asia -- Current Stage and Challengescited by 6
  3. 2025Phir Hera Fairy: An English Fairytaler is a Strong Faker of Fluent Speech in Low-Resource Indian Languagescited by 2
  4. 2026Cross Lingual Transfer in Tulu Legal Comprehension: Script-Dependent Improvement and RAG-Induced Knowledge Conflictcited by 0