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Successful sentence comprehension requires the comprehender to correctly figure out who did what to whom. For example, in the sentence John kicked the ball, the comprehender has to figure out who did the action of kicking and what was being kicked. This process of identifying and connecting the syntactically-related words in a sentence is called dependency completion. What are the cognitive constraints that determine dependency completion? A widely-accepted theory is cue-based retrieval. The theory maintains that dependency completion is driven by a content-addressable search for the co-dependents in memory. The cue-based retrieval explains a wide range of empirical data from several constructions including subject-verb agreement, subject-verb non-agreement, plausibility mismatch configurations, and negative polarity items.
However, there are two major empirical challenges to the theory: (i) Grammatical sentences’ data from subject-verb number agreement dependencies, where the theory predicts a slowdown at the verb in sentences like the key to the cabinet was rusty compared to the key to the cabinets was rusty, but the data are inconsistent with this prediction; and, (ii) Data from antecedent-reflexive dependencies, where a facilitation in reading times is predicted at the reflexive in the bodybuilder who worked with the trainers injured themselves vs. the bodybuilder who worked with the trainer injured themselves, but the data do not show a facilitatory effect.
The work presented in this dissertation is dedicated to building a more general theory of dependency completion that can account for the above two datasets without losing the original empirical coverage of the cue-based retrieval assumption. In two journal articles, I present computational modeling work that addresses the above two empirical challenges.
To explain the grammatical sentences’ data from subject-verb number agreement dependencies, I propose a new model that assumes that the cue-based retrieval operates on a probabilistically distorted representation of nouns in memory (Article I). This hybrid distortion-plus-retrieval model was compared against the existing candidate models using data from 17 studies on subject-verb number agreement in 4 languages. I find that the hybrid model outperforms the existing models of number agreement processing suggesting that the cue-based retrieval theory must incorporate a feature distortion assumption.
To account for the absence of facilitatory effect in antecedent-reflexive dependencies, I propose an individual difference model, which was built within the cue-based retrieval framework (Article II). The model assumes that individuals may differ in how strongly they weigh a syntactic cue over a number cue. The model was fitted to data from two studies on antecedent-reflexive dependencies, and the participant-level cue-weighting was estimated. We find that one-fourth of the participants, in both studies, weigh the syntactic cue higher than the number cue in processing reflexive dependencies and the remaining participants weigh the two cues equally. The result indicates that the absence of predicted facilitatory effect at the level of grouped data is driven by some, not all, participants who weigh syntactic cues higher than the number cue. More generally, the result demonstrates that the assumption of differential cue weighting is important for a theory of dependency completion processes. This differential cue weighting idea was independently supported by a modeling study on subject-verb non-agreement dependencies (Article III).
Overall, the cue-based retrieval, which is a general theory of dependency completion, needs to incorporate two new assumptions: (i) the nouns stored in memory can undergo probabilistic feature distortion, and (ii) the linguistic cues used for retrieval can be weighted differentially. This is the cumulative result of the modeling work presented in this dissertation.
The dissertation makes an important theoretical contribution: Sentence comprehension in humans is driven by a mechanism that assumes cue-based retrieval, probabilistic feature distortion, and differential cue weighting. This insight is theoretically important because there is some independent support for these three assumptions in sentence processing and the broader memory literature. The modeling work presented here is also methodologically important because for the first time, it demonstrates (i) how the complex models of sentence processing can be evaluated using data from multiple studies simultaneously, without oversimplifying the models, and (ii) how the inferences drawn from the individual-level behavior can be used in theory development.
One of the central questions in psycholinguistic is understanding whether and how prosodic phrase boundaries are used to resolve syntactic ambiguities in sentence processing. The present work aimed to answer both, first, the effects of φ- and ι-boundaries on syntactic ambiguity resolution, and second, how the prosodic correlates of the auditory input are taken for the phonetic-phonology mapping in order to attain a meaningful sentence interpretation.
With regard to the first aim, we investigated locally syntactic ambiguities involving either φ- or ι-phrase boundaries in German and the structural preference that listeners have, based on the prosodic content. The experiments described in this work show that German listeners exploit both types of prosodic phrase boundaries to resolve local syntactic ambiguities, that however, their disambiguation altered by the presence or absence of prosodic cues correlated with the corresponding boundary. Specifically, the perception data revealed that the phonetically measured prosodic correlates of each prosodic boundary such as pitch accents, boundary tones, deaccentuation and durational properties do not contribute to ambiguity resolution in equal measure. Rather, it is the case that listeners rely primarily on prefinal lengthening as a correlate of phrasing in the vicinity of φ-phrase boundaries, while at the level of the ι-phrase boundary, boundary tones serve as phrasal cues. This way the results of the present work take account of the as yet missing information on individual contributions of prosodic correlates on listeners’ disambiguation of syntactically ambiguous sentences in German. It further implies that the question of how German listeners resolve syntactic ambiguities cannot simply be attributed to the presence or absence of prosodic correlates. The interpretation of the phrasal structure rather depends on a more general picture of cohesion between prosodic correlates and prosodic boundary sizes.
With respect to the second aim, the processing models proposed in the present work describe a specific phonetics-phonology mapping in the vicinity of both phrase boundaries. It is assumed that auditory sentence processing proceeds in several successively organized steps, during which listeners transform overt phonetic forms into language specific abstract surface forms. This process is referred to as phonetics-phonology mapping in the present work. Perceptual evidence resulting from the experiments of the present work suggest that the phonetics-phonology mapping is guided by the above mentioned boundary related prosodic correlates. The resulting abstract phonological structure is subjected to the syntax-prosody mapping, in turn. The outcome of the presented perception experiments are modulated in an Optimality-Theoretic framework. The offered OT-models are grounded on the assumption that single prosodic correlates are used by listeners as a signal to syntax in sentence processing. This is in line with studies arguing that the prosodic phrase structure determines the syntactic parse (Cutler et al., 1997; Warren et al., 1995; Pynte & Prieur, 1996; Snedeker & Trueswell, 2003; Kjelgaard & Speer, 1999), to name just a few.