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English(EN) Automatic Part-of-Speech Tagging of Arabic-English Dictionary Senses through WordNet

新算法使用 WordNet 标注阿拉伯语-英语词典词义

研究人员开发了一种新颖的算法,用于自动为阿拉伯语-英语双语词典中的词义分配词性(POS)标签。该方法利用 Princeton WordNet,在消歧过程后,将词性标签从英语翻译对等词转移到其阿拉伯语对应词。该方法旨在促进双语词典与 WordNet 的链接,并将其标准化为 WordNet-LMF 格式,为 NLP 资源有限的语言提供一种资源消耗少(resource-light)的解决方案。 AI

影响 这项研究为 NLP 资源有限的语言提供了开发 NLP 工具的资源消耗少(resource-light)的方法,有望加速语言资源的创建。

排序理由 该集群包含一篇详细介绍 NLP 任务新算法的学术论文。

在 arXiv cs.CL 阅读 →

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新算法使用 WordNet 标注阿拉伯语-英语词典词义

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报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Diaa M. Fayed, Aly A. Fahmy, Mohsen A. Rashwan, Wafaa K. Fayed ·

    通过WordNet对阿拉伯语-英语词典词义进行自动词性标注

    arXiv:2606.24359v1 Announce Type: new Abstract: This paper proposed an algorithm for part-of-speech (POS) tagging senses of a bilingual dictionary. The algorithm is applied on the Al-Mawrid Arabic-English dictionary. The tagging task is accomplished by transferring the POS tags o…

  2. arXiv cs.CL TIER_1 English(EN) · Wafaa K. Fayed ·

    通过WordNet对阿拉伯语-英语词典词义进行自动词性标注

    This paper proposed an algorithm for part-of-speech (POS) tagging senses of a bilingual dictionary. The algorithm is applied on the Al-Mawrid Arabic-English dictionary. The tagging task is accomplished by transferring the POS tags of the English translation equivalences (TEs) to …