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English(EN) Is Child-Directed Language Optimized for Word Learning? A Computational Study of Verb Meaning Acquisition

研究:口语,而不仅仅是儿童导向语言,有助于动词学习

研究人员使用神经语言模型来研究儿童导向语言(CDL)是否经过优化以进行单词学习。通过在 CDL 和成人导向语言(ADL)上训练模型并操纵句法或词汇信息,他们发现句法中断会影响所有数据集的学习。与书面输入相比,在口语 CDL 和 ADL 上训练的模型对这些中断表现出更大的韧性,这表明口语语域,而不是 CDL 本身,可能在动词意义习得方面具有优势。 AI

影响 表明口语语域,而不是儿童导向语言本身,可能在人工智能模型中获得动词意义习得的优势。

排序理由 详细介绍语言习得计算研究的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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研究:口语,而不仅仅是儿童导向语言,有助于动词学习

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详细介绍语言习得计算研究的学术论文。[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) · Arianna Bisazza ·

    儿童导向语言是否优化了单词学习?一项关于动词意义习得的计算研究

    Is child-directed language (CDL) optimized to support language learning, and which aspects of linguistic development does it facilitate? We investigate this question using neural language models trained on CDL versus adult-directed language (ADL). We selectively remove syntactic …