Production and perception errors are common in everyday language use. Recent studies suggest that in order to overcome the flawed speech signal, comprehenders engage in rational noisy-channel processing, which can pull their interpretation towards more probable "near-neighbor" analyses, based on the assumption that an error may have occurred in the transmission of the sentence. We investigate this type of processing using subject/object relative clause ambiguity in Hebrew. In four self-paced reading experiments and a sentence completion experiment, we find that during online processing, readers apply elaborate knowledge regarding the distribution of structures in the language, and that they are willing to compromise subject-verb agreement to refrain from (grammatical but) highly improbable structures. The results suggest that the prior probability of alternative analyses modulates the interpretation of agreement.

中文翻译：

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嘈杂总比罕见好：理解者妥协主谓一致以形成更可能的语言结构

生产和感知错误在日常语言使用中很常见。最近的研究表明，为了克服有缺陷的语音信号，理解者进行合理的噪声信道处理，基于传输中可能发生错误的假设，这可以将他们的解释推向更可能的“近邻”分析的句子。我们使用希伯来语中的主宾关系从句歧义来研究这种类型的处理。在四个自定进度的阅读实验和一个句子完成实验中，我们发现在在线处理过程中，读者应用了关于语言结构分布的详尽知识，并且他们愿意妥协主谓一致性来避免（语法但) 极不可能的结构。