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English(EN) English-to-Prakrit Machine Translation via Multilingual Transfer Learning

研究人员通过多语言模型适配实现英语到普拉克里特语的翻译

研究人员开发了一种英语到普拉克里特语的机器翻译方法,这是一个低资源语言对,现有模型(如IndicTrans2)不支持。通过将普拉克里特语映射到多语言模型中的印地语语言标签,他们使用一个包含1474个对的马拉地普拉克里特语语料库,提高了BLEU分数。这种方法证明了脚本兼容的语言路由技术有潜力支持不支持的古典语言的翻译,尽管数据稀缺和方言差异带来了挑战。 AI

影响 展示了一种将机器翻译扩展到不支持的古典语言的技术,为语言学研究和保护开辟了新的途径。

排序理由 该集群包含一篇学术论文,详细介绍了一种针对低资源语言的机器翻译新方法。

在 arXiv cs.CL 阅读 →

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研究人员通过多语言模型适配实现英语到普拉克里特语的翻译

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该集群包含一篇学术论文,详细介绍了一种针对低资源语言的机器翻译新方法。
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报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Om Choksi, Smit Kareliya, Shrikant Malviya, Pruthwik Mishra ·

    通过多语言迁移学习实现英语到Prakrit的机器翻译

    arXiv:2606.06038v1 Announce Type: new Abstract: We study English-to-Prakrit machine translation in a low-resource setting where the target language is unsupported by IndicTrans2. We adapt the multilingual model by mapping Prakrit to the Hindi language tag (hin_Deva) without modif…

  2. arXiv cs.CL TIER_1 English(EN) · Pruthwik Mishra ·

    通过多语言迁移学习实现英语到Prakrit的机器翻译

    We study English-to-Prakrit machine translation in a low-resource setting where the target language is unsupported by IndicTrans2. We adapt the multilingual model by mapping Prakrit to the Hindi language tag (hin_Deva) without modifying the tokenizer, vocabulary, or architecture.…