How do people interpret implausible sentences?

Rational Sentence Interpretation in Mandarin Chinese

Previous work has shown that English native speakers interpret sentences as predicted by a noisy-channel model: They integrate both the real-world plausibility of the meaning-the prior-and the likelihood that the intended sentence may be corrupted into the perceived sentence. In this study, we test the noisy-channel model in Mandarin Chinese, a language taxonomically different from English. We present native Mandarin speakers sentences in a written modality (Experiment 1) and an auditory modality (Experiment 2) in three pairs of syntactic alternations. The critical materials are literally implausible but require differing numbers and types of edits in order to form more plausible sentences. Each sentence is followed by a comprehension question that allows us to infer whether the speakers interpreted the item literally, or made an inference toward a more likely meaning. Similar to previous research on related English constructions, Mandarin participants made the most inferences for implausible materials that could be inferred as plausible by deleting a single morpheme or inserting a single morpheme. Participants were less likely to infer a plausible meaning for materials that could be inferred as plausible by making an exchange across a preposition. And participants were least likely to infer a plausible meaning for materials that could be inferred as plausible by making an exchange across a main verb. Moreover, we found more inferences in written materials than spoken materials, possibly a result of a lack of word boundaries in written Chinese. Overall, the fact that the results were so similar to those found in related constructions in English suggests that the noisy-channel proposal is robust.

Syntactic representation of missing-verb anomalous utterances in Mandarin: Evidence from structural priming

Theories of how people interpret utterances with verb-related anomalies are chiefly based on English, but relatively little is known about the syntactic representation of missing-verb anomalous utterances in Mandarin, which has strikingly different typological features. In the current study, two experiments in structural priming paradigm were carried out to investigate whether native Mandarin speakers reconstructed a full syntactic form of missing-verb anomalous utterances. Our study shows that the magnitude of priming following a missing-verb anomalous sentence is equivalent to that following an error-free sentence, indicating that native Mandarin speakers reconstruct a full syntactic representation of missing-verb anomalous utterances. The results thus provide robust evidence for the syntactic reconstruction account.

The effect of context on noisy-channel sentence comprehension

The process of sentence comprehension must allow for the possibility of noise in the input, e.g., from speaker error, listener mishearing, or environmental noise. Consequently, semantically implausible sentences such as The girl tossed the apple the boy are often interpreted as a semantically plausible alternative (e.g., The girl tossed the apple to the boy). Previous investigations of noisy-channel comprehension have relied exclusively on paradigms with isolated sentences. Because supportive contexts alter the expectations of possible interpretations, the noisy channel framework predicts that context should encourage more inference in interpreting implausible sentences, relative to null contexts (i.e. a lack of context) or unsupportive contexts. In the present work, we tested this prediction in four types of sentence constructions: two where inference is relatively frequent (double object - prepositional object), and two where inference is rare (active-passive). We found evidence that in the two sentence types that commonly elicit inference, supportive contexts encourage noisy-channel inferences about the intended meaning of implausible sentences more than non-supportive contexts or null contexts. These results suggest that noisy-channel inference may be more pervasive in everyday language processing than previously assumed based on work with isolated sentences.