Scalar inference, the process by which we infer meanings stronger than what was explicitly said, has long been a central topic of investigation in theoretical semantics-pragmatics, as well as in psycholinguistics. Upon encountering the sentence "Mary ate some of the deep dish", for instance, hearers regularly compute the pragmatic…

This dissertation investigates whether social identity information modulates the interpretation of non-entailed clausal complement content (CC) in utterances of sentences such as (1): (1) Ken didn't hear that the minimum wage is too high. The focus of this dissertation is the listener 's inference that the speaker is committed to the truth of the…

This dissertation explores the effects of frequency on the learning and use of linguistic constructions. The work examines the influence of frequency on form choice in production and meaning inference in comprehension and discusses the effect of each modality on diachronic patterns of change in language. In production, high frequency of a form…

In this dissertation I argue that truth-conditional semantics for vague predicates, combined with a Bayesian account of statistical inference incorporating knowledge of truth-conditions of utterances, generates false predictions regarding negations and metalinguistic inference. I thus propose a fundamentally probabilistic semantics for vagueness…

We address the challenging task of "computational natural language inference," by which we mean bridging two or more natural language texts while also providing an explanation of how they are connected. In the context of question answering (i.e., finding short answers to natural language questions), this inference connects the question…

Lexical inferencing is considered a listening strategy that is commonly employed by advanced EFL (English as a Foreign Language) listeners and a factor that contributes to successful listening comprehension. However, investigations of the factors that influence inferencing success in listening as well as how much each factor contributes to success…

Recently, there has been considerable L2 research on interfaces between different modules of grammar (internal), such as syntax-semantics, or between grammar and other cognitive systems (external), such as semantics-pragmatics. Sorace's (2011) Interface Hypothesis proposes that L2 learners, even at highly proficient levels, often fail to integrate…

Much of the world's knowledge is encoded in natural language. Accessing this information would be invaluable for applications such as agent systems, question answering, the semantic web, expert systems, and many more. However, language is very ambiguous--each word in a natural language utterance can have a variety of meanings. Word sense…

In this thesis, I focus on scalar implicatures, presuppositions and their connections. In chapter 2, I propose a scalar implicature-based account of neg-raising inferences, standardly analyzed as a presuppositional phenomenon (Gajewski 2005, 2007). I show that an approach based on scalar implicatures can straightforwardly account for the…

The goal of language comprehension for humans is not just to decode the semantic content of sentences, but rather to grasp what speakers intend to communicate. To infer speaker meaning, listeners must at minimum assess whether and how the literal meaning of an utterance addresses a question under discussion in the conversation. In cases of…

The present study examines the representation and composition of meaning in scalar implicatures. Scalar implicature is the phenomenon whereby the use of a less informative term (e.g., "some") is inferred to mean the negation of a more informative term (e.g., to mean "not all"). The experiments reported here investigate how the…

The most important information conveyed by language is often contained not in the utterance itself, but in the interaction between the utterance and the comprehender's knowledge of the world and the current situation. This dissertation uses psycholinguistic methods to explore the effects of a common type of inference--causal inference--on language…

The fundamental problem faced by automatic text understanding in Natural Language Processing (NLP) is to identify semantically related pieces of text and integrate them together to compute the meaning of the whole text. However, the principle of compositionality runs into trouble very quickly when real language is examined with its frequent…

Japanese has a rich set of focus particles, several exclusive and additive particles, and, in addition, contrastive particles. This thesis provides a formal description of the meanings of Japanese focus particles and addresses two general questions: "What kinds concepts do Japanese focus particles express?" and "Why does Japanese have a larger…

This thesis describes new approaches to the formal modeling of narrative discourse. Although narratives of all kinds are ubiquitous in daily life, contemporary text processing techniques typically do not leverage the aspects that separate narrative from expository discourse. We describe two approaches to the problem. The first approach considers…