Psycholinguistic research aims to understand how people make sense of language in their everyday lives. However, most of this research studies language under experimental conditions in which people are instructed to specifically monitor (and indicate) when there is a breakdown in their understanding. Moreover, there is an assumption that people…

Personality has been found to have significant connections to language. Ranging from impacting narrative style, to informing expectations about others based on linguistic factors such as accent, personality affects both language comprehension and production (Oberlander & Gill, 2004; Van den Brink et al., 2012). However, research in this area…

The systems underlying incremental sentence comprehension are, in general, highly successful -- comprehenders typically understand sentences of their native language quickly and accurately. The occasional failure of the system to deliver an appropriate representation of a sentence is therefore potentially illuminating. There are many ways the…

Singular "they" is becoming increasingly common and accepted, but many people find it difficult to learn, instead making seemingly-counterintuitive errors like "she uses they/them pronouns." Existing pronoun production models argue that speakers select pronouns based on morphosyntactic information associated with a name, or…

This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…

There is a general consensus in theories of human speech recognition that humans engage in predictive processing during online speech processing. There are also claims that predictive processing indicates the operation of a predictive coding (PC) mechanism (Rao & Ballard, 1999). Formally, PC is a generative model where top-down signals consist…

When acquiring a second language, learners must become able to perceive the difference between novel sounds ("discrimination") and also associate strings of sounds with distinct vocabulary items ("lexical encoding"). Recent research has questioned whether discrimination is a sufficient or necessary condition for encoding, and…

During conversation, talkers may adapt their speech in a variety of ways. One form of speech adaptation is clear speech, in which a talker selectively hyperarticulates segments when faced with specific communication challenges. The present speech production experiment investigated how talkers adapt a common feature of American English dialects:…

Generalization is the ability to apply regularities to novel instances, for example, correctly guessing that the plural for the novel English word 'wug' should be 'wugs'. Early language learners make overgeneralization errors like 'mouses', applying regularities beyond their attested uses. Theories concerned with the question of how learners learn…

Language comprehension is remarkable in that we adapt easily to different forms of language use, from adapting to speakers' dialects, meanings of new slang words, and fictional worlds described in novels. While there is growing evidence comprehenders adapt their expectations for text during reading, the nature of these adaptation mechanisms…

This dissertation represents the first attempt to integrate typological, semantic, and psycholinguistic perspectives to elucidate a semantically "bizarre" and "illogical" phenomenon called "expletive negation" (henceforth, EN) which is well known in Romance languages but has so far attracted little attention outside…

Purpose: Children with speech sound disorder (SSD) mispronounce more speech sounds than is typical for their age and a growing body of research suggests that a deficit in speech perception abilities contributes to development of the disorder. However, little work has been done to characterize the neurophysiological processes indexing speech…

Software is an integral part of our lives. It controls the cars we drive every day, the ships we send into space, and even our toasters. It is everywhere and we can easily download more. Software solves many real-world problems and satisfies many needs. Thus, unsurprisingly, there is a rising demand for software engineers to maintain existing…

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 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…