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New English-Mizo legal dataset and NLLB model fine-tuning show translation challenges

By PulseAugur Editorial · [1 sources] ·

Researchers have created the first parallel dataset for English-Mizo legal text, containing over 13,000 sentence pairs from Indian court judgments. The study observed that legal and official terms are frequently retained in English within Mizo translations, while everyday words are typically translated. Fine-tuning the NLLB 200 1.3B model on this dataset improved its BLEU score by 7.16 points, though it still overuses English words compared to human translators. AI

IMPACT Establishes a new benchmark for low-resource legal translation, potentially improving access to justice for Mizo speakers.

RANK_REASON Academic paper detailing corpus creation and model performance. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New English-Mizo legal dataset and NLLB model fine-tuning show translation challenges

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Academic paper detailing corpus creation and model performance. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Telem Joyson Singh, Sanabam Boyshana, Sanasam Ranbir Singh, Priyankoo Sarmah ·

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

    arXiv:2610.29943v1 Announce Type: new Abstract: Indian court proceedings are held in English, so speakers of languages with limited translation technology have limited access to them. We present the first English Mizo parallel dataset of Indian court judgments. It contains 13,168…

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