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English(EN) Generating Concept Lexicalizations via Dictionary-Based Cross-Lingual Sense Projection

新方法将词汇资源扩展到新语言

研究人员开发了一种新颖的方法,用于将WordNet等词汇资源扩展到新语言。该方法将英语语料库中的语义词义投影到目标语言中对齐的词元上,并使用双语词典来优化过程和过滤错误的投影。该方法在多种语言上进行了评估,与现有技术和大型语言模型相比,在准确性和效率方面均有所提高。 AI

影响 提供了一种更有效、更易于理解的跨语言词汇资源创建方法,可能有助于资源匮乏语言的自然语言处理任务。

排序理由 关于词汇资源扩展新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新方法将词汇资源扩展到新语言

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关于词汇资源扩展新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · David Basil, Chirooth Girigowda, Bradley Hauer, Sahir Momin, Ning Shi, Grzegorz Kondrak ·

    通过基于词典的跨语言词义投影生成概念词汇化

    arXiv:2604.14397v2 Announce Type: replace-cross Abstract: We study the task of automatically expanding WordNet-style lexical resources to new languages through sense generation. We generate senses by associating target-language lemmas with existing lexical concepts via semantic p…