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.