Telem Joyson Singh, Sanabam Boyshana, Sanasam Ranbir Singh, Priyankoo Sarmah · 2026 · arXiv (Cornell University)
DOI: 10.48550/arxiv.2610.29943 · cited by 0 works (OpenAlex) · open-access PDF
Os processos judiciais indianos são realizados em Inglês, de modo que os falantes de línguas com tecnologia de tradução limitada têm acesso limitado a eles. Nós apresentamos o primeiro conjunto de dados paralelo de Mizo Inglês de sentenças judiciais indianas. Ele contém 13,168 pares de sentenças do Supremo Tribunal de Gauhati e do Supremo Tribunal da Índia. Tradutores Mizo profissionais nativos traduziram documentos completos; pares de sentenças foram alinhados manualmente e dois revisores independentes verificaram os resultados. Nosso estudo descobriu que as palavras inglesas são emprestadas de forma muito seletiva: termos oficiais e legais são quase sempre mantidos em Inglês, mas palavras para coisas cotidianas como ações, situações e resultados são geralmente expressos em Mizo nativo. A diacrítica Mizo também é
Machine translation (Meta M2M100); the English original follows.
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 sentence pairs from the Gauhati High Court and the Supreme Court of India. Professional native Mizo translators translated complete documents; sentence pairs were manually aligned, and two independent reviewers checked the results. Our study finds that English words are borrowed in a very selective way: official and legal terms are almost always kept in English, but words for everyday things like actions, situations, and results are usually expressed in native Mizo. Mizo diacritics are also used inconsistently across the corpus. When we fine tune the NLLB 200 1.3B model on our training data, it scores 27.47 BLEU on a balanced legal test set of 1,000 sentence pairs, an improvement of 7.16 BLEU over the base model. However, it still uses English words about three times more often than a human translator does.
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Topics: Sentence, Supreme court, Computer science, Natural language processing, Set (abstract data type), Artificial intelligence
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