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English(EN) Conversational Domain Adaptation of IndicTrans2 across 21 Indic Languages via Experience Replay and Model Soups

IndicTrans2 适配 21 种印度语言的对话翻译

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员已将 IndicTrans2-1B 翻译模型适配，以更好地处理 21 种印度语言的对话语言。通过采用经验回放和模型融合等技术，他们在不显著降低通用文本性能的情况下提高了对话翻译质量。虽然 chrF 等量化指标显示有所提升，但人工和 LLM 评估并未持续证实感知到的质量改进，这表明提升主要在于匹配对话语域。 AI

影响 提高了印度语言对话用例的翻译质量，但感知到的质量提升仍需进一步验证。

排序理由 详细介绍模型适配技术的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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IndicTrans2 适配 21 种印度语言的对话翻译

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详细介绍模型适配技术的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Aditya Pratap Singh ·

    通过经验回放和模型融合，实现IndicTrans2在21种印度语言间的对话领域自适应

    arXiv:2606.29024v1 Announce Type: new Abstract: IndicTrans2 is the strongest open English to Indic translation system, but like most systems it is trained on general text and tends to sound stiff on casual, conversational input. We adapt IndicTrans2-1B to conversational register …

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