Low-Resource MT

MT: Machine Translation

Overview

The field studies how to translate languages that lack the large parallel-text collections and language technologies available for widely used languages, helping broaden access to information and services. Common approaches include building curated corpora, adapting multilingual models such as NLLB and mT5, transferring knowledge from related languages, and creating synthetic training data through back-translation or language-model generation. Researchers also explore retrieval-based prompting, linguistic resources such as dictionaries and grammars, and reinforcement learning with semantic or quality-estimation rewards. Progress remains uneven: results depend heavily on data quality, language variety, script and tokenization, while metric reliability, data contamination, and the gap between automatic scores and human judgment remain open concerns.

Latest papers

CardsList

87 papers15 papers in the last four weeks, up 67% on the four weeks before. 0.1% of all new papers.

  1. Climbing the Ladder: Automating Data Pipelines and Reproducing Baselines in Low-Resource Settings

    Oct 21, 2026Donato Meoli, Eryk WdowiakBack-TranslationMachine Translation

  2. Towards English - Mizo Legal Machine Translation: Corpus Creation, Analysis, and Benchmarks

    Oct 21, 2026Telem Joyson Singh, Sanabam Boyshana, Sanasam Ranbir Singh +1Machine TranslationLegal NLP

  3. Towards Figurative Language Understanding in Moroccan Darija: An Evaluation of Large Language Models

    Oct 18, 2026Jihad R'baiti, Youssef Hmamouche, Emmanuele Chersoni +2Figurative Language UnderstandingMachine Translation

  4. MAS-Bai: Linguistically Informed Adaptive Multi-Agent Translation for Bowen-Script Bai

    Oct 16, 2026Jingting Zheng, Hong Ren, Yuehan Cui +2Machine TranslationLow-Resource MT

  5. Unfragmenting Nawatl NMT: Single-Variant Specialization for Masewalkopa

    Oct 15, 2026Luis A. Mercado-Campos, Alexis PalmerBack-TranslationMachine Translation

  6. Translation Circuit Discovery and Targeted Optimization for Low-Resource Multilingual Translation

    Oct 15, 2026Atai Waris Khan, Abdullah Mazhar, Raghu Kumar +1Multilingual Language ModelsLow-Resource MT

  7. bharatSetu: a 1M x 22 bridge for indic translation

    Oct 11, 2026Haq Nawaz Malik, Nahfid Nissar, Faizan IqbalLow-Resource MTMachine Translation

  8. The Constitution Speaks Nheengatu: An Open MT System and Reproducible Corpus Pipeline for the Amazonian Língua Geral

    Oct 10, 2026Fabrício Carraro, Rodolfo Joel Zevallos, Rodrigo Gonçalves de Souza +2Machine TranslationLow-Resource MT

  9. Fact over Fiction: Detection of Pathological Hallucinations in Sinhala-to-English Neural Machine Translation

    Oct 8, 2026Navam Obeysekara, Nevidu JayatillekeHallucination DetectionHallucination in Language Models

  10. Investigating Model Compression for Neural Machine Translation in the Biomedical Domain

    Oct 4, 2026Maria Zafar, Souhail Bakkali, Rejwanul HaqueModel CompressionMachine Translation

  11. Precision over Scale: A Polish-Silesian Benchmark and a Translation System Outperforming Open-Source and Commercial Models

    Oct 1, 2026Grzegorz Kulik, Mikołaj Pokrywka, Adam Jatowt +1Low-Resource MTMachine Translation

  12. COILD: An Indic-Centric Parallel Corpus and Benchmark for Machine Translation Across Indian Languages

    Sep 23, 2026Kshetrimayum Boynao Singh, Nitin Kumar Mishra, Palash Pratim Dutta +22Low-Resource MTMachine Translation

  13. The Ongiini-Eval-OW Benchmark: A Concept Paper for the Planned Benchmarking of Machine Translation and Large Language Models on Oshindonga and Oshikwanyama

    Sep 22, 2026Sebastian KüpersMT EvaluationLow-Resource MT

  14. ReMova: Fine-tuning LLMs for English to Belarusian translation

    Sep 14, 2026Mikita Pilinka, Aliaksandr Kliujeŭ, David Samuel +1LLM Fine-TuningLow-Resource MT

  15. Measuring the Cost of Variety Conflation in Multilingual MT Evaluation: Adding Mozambican Xichangana, Nyanja and Sena to FLORES+

    Sep 12, 2026Felermino D. M. A. Ali, Delfina Lázaro Mateus, Manuel Valente MangueAfrican Language ProcessingMT Evaluation

  16. Rosetta at AlexandriaX-2026: LoRA-Adapted NileChat for Context-Aware Dialectal Arabic Dialogue Translation

    Sep 9, 2026Nada Esmaeil, Fathima Rena, Sibi Subhash +4Arabic NLPLow-Resource MT

  17. Confident but Wrong: A Constrained Decoding Diagnostic for Low-Resource Automatic Post-Editing

    Aug 30, 2026Isuru Wijesiri, Nisansa de Silva, Kavindu Warnakulasuriya +2Low-Resource MTMT Evaluation

  18. Benchmarking Arabic--Russian Machine Translation: A Comparison of Fine-tuned NMT and Few-shot LLMs under Rich Morphology and Low Lexical Overlap

    Aug 26, 2026Mullosharaf K. ArabovMachine TranslationLow-Resource MT

  19. EnSiTa - A Trilingual Multi-Domain Parallel Dataset and Benchmark for Domain-Specific Machine Translation

    Aug 25, 2026Surangika Ranathunga, Nisansa de Silva, Aloka Fernando +8Machine TranslationLow-Resource MT

  20. Statistical Machine Translation Systems of English-Pnar Language Pair : Some Insights of the Emperical Study

    Aug 24, 2026Edawanbiang Dhar Surmila Thokchom, Thoudam Doren SinghMachine TranslationLow-Resource MT

  21. BM25-Augmented Many-Shot Translation for Low-Resource North-Eastern Indian Languages

    Aug 13, 2026Aashish Dhawan, Christopher Driggers-Ellis, Dzmitry Kasinets +2Machine TranslationLow-Resource MT