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语言可接受性评估 — 语法判断

语言可接受性评估是一项自然语言处理任务,旨在自动估计一个句子是否会被目标语言的母语者判断为语法上可接受。该任务以乔姆斯基 (1957) 对语法和非语法话语的区分作为理论基础,通过 Warstadt、Singh 和 Bowman (2019) 的语言可接受性语料库 (CoLA) 被形式化为一个神经基准。它被用于语言学习研究、语言学研究以及自然语言生成 (NLG) 系统的质量审计。

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来源

  1. Warstadt, A., Singh, A. & Bowman, S. (2019). Neural Network Acceptability Judgments. Transactions of the Association for Computational Linguistics, 7, 625–641. DOI: 10.1162/tacl_a_00290
  2. Chomsky, N. (1957). Syntactic Structures. Mouton, The Hague. ISBN: 978-9027933249

如何引用本页

ScholarGate. (2026, June 1). Linguistic Acceptability Assessment (Grammaticality Judgment). ScholarGate. https://scholargate.app/zh/text-mining/linguistic-acceptability

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ScholarGateLinguistic Acceptability Assessment (Linguistic Acceptability Assessment (Grammaticality Judgment)). 于 2026-06-15 检索自 https://scholargate.app/zh/text-mining/linguistic-acceptability · 数据集: https://doi.org/10.5281/zenodo.20539026