Language comprehension requires a complex series of decisions under uncertainty. This is especially obvious when one string may have multiple different interpretations, whether due to lexical ambiguity, or the potential for an inference beyond literal content. This dissertation profiles how the human system for language comprehension times those…

A considerable amount of research has emerged in recent years concerning second language (L2) learner sensitivity to various information types. From this, Clahsen and Felser proposed the Shallow Structure Hypothesis (SSH) to account for increased learner sensitivity to certain kinds of non-structural (e.g., contextual, discoursal, semantic, and…

Human communication relies on the ability to assess what others intend to communicate beyond what they directly say. Under classic theories of communication, a critical component of this process is the evaluation of what another person knows (epistemic reasoning) and how that knowledge will affect the value of what they communicate. For example, a…

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…

A large body of research suggests that spoken language processing is heavily influenced by social characteristics of the speaker, and conversely, that socio-cognitive processing is influenced by the language spoken by our interlocutors. However, little is known about the extent to which this interaction that is observed in adulthood has its roots…

Language is one of the hallmarks of intelligence, demanding explanation in a theory of human cognition. However, language presents unique practical challenges for quantitative empirical research, making many linguistic theories difficult to test at naturalistic scales. Artificial neural network language models (LMs) provide a new tool for studying…

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…

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…

Subject-verb agreement constitutes a robust characteristic of French. However, especially at beginner and intermediate levels, second language (L2) learners might substitute or fail to recognize an infinitive for a conjugated verb, or a 3rd person singular form for a plural form, as "Les enfants mangera" (The children will eat--3rd…

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…

The field of spoken language processing is concerned with creating computer programs that can understand human speech and produce human-like speech. Regarding the problem of understanding human speech, there is currently growing interest in moving beyond speech recognition (the task of transcribing the words in an audio stream) and towards…

This dissertation investigates the temporal relation identification task. The goal is to construct consistent temporal relations between temporal entities (e.g., events and time expressions) in a narrative. Constructing consistent temporal relations is challenging due to the exponential increase in the number of candidates for temporal relations…

In the face of underspecified utterances, listeners routinely and without much apparent effort make the right kinds of pragmatic inferences about a speaker's intended meaning. This dissertation investigates the processing of scalar implicatures as a way of addressing how listeners perform this remarkable feat. In particular, the role of context in…

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…