儿童语言习得的计算模拟(疯狂的新想法)

Ben Ambridge
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引用次数: 0

摘要

许多现代NLP模型已经接近于模拟儿童的语言习得;他们目前缺乏的主要东西是语义的“真实世界”表示,允许他们从形式映射到意义,反之亦然。这个“疯狂的想法”的目的是引发一场关于我们如何实现这一目标的讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Computational Simulation of Children's Language Acquisition (Crazy New Idea)
Many modern NLP models are already close to simulating children’s language acquisition; the main thing they currently lack is a "real world" representation of semantics that allows them to map from form to meaning and vice-versa. The aim of this "Crazy Idea" is to spark a discussion about how we might get there.
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