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English(EN) Machine Translation between English and Syriac (East Syriac Dialect) using Statistical Machine Learning

首个使用圣经语料库开发的英叙机器翻译模型

研究人员开发了首个用于英译叙利亚语的基于短语的统计机器翻译(SMT)模型,解决了翻译一种拼写复杂且濒危语言的挑战。该研究创建了一个包含近40,000对句子的圣经数据集,采用自定义脚本和人工审查进行对齐。所得模型达到了23.54的BLEU分数,人工评估显示性能尚可,为叙利亚语未来的自然语言处理(NLP)工作奠定了基础。 AI

影响 为叙利亚语等濒危语言未来的自然语言处理(NLP)研究提供了基础数据集和模型。

排序理由 该集群描述了一篇研究论文,详细介绍了为一种低资源语言开发新的机器翻译模型。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

首个使用圣经语料库开发的英叙机器翻译模型

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该集群描述了一篇研究论文,详细介绍了为一种低资源语言开发新的机器翻译模型。
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报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Hadiana Sliwa, Hossein Hassani ·

    使用统计机器学习实现英语与叙利亚语(东叙利亚方言)之间的机器翻译

    arXiv:2609.18529v1 Announce Type: new Abstract: UNESCO considers the Assyrian (Syriac) language an endangered language. Although Assyrians speak the language worldwide, the speaking population is uncertain (ranging from 500,000 to 1,500,000). Syriac is also one of the least studi…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    使用统计机器学习实现英语与叙利亚语(东叙利亚方言)之间的机器翻译

    UNESCO considers the Assyrian (Syriac) language an endangered language. Although Assyrians speak the language worldwide, the speaking population is uncertain (ranging from 500,000 to 1,500,000). Syriac is also one of the least studied languages in Natural Language Processing (NLP…