Hearing and Speech Sciences

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Yi Ting Huang

Ph.D. (2009, Harvard University, Psychology)

Assistant Professor, Dept of Hearing and Speech Sciences
Faculty Member, Program in Neuroscience and Cognitive Science (NACS)
Faculty Member, Language Science at Maryland
Faculty Affiliate, Center for Advanced Study of Language (CASL)
Director, Language and Cognition Laboratory


Email: ythuang1@umd.edu
Phone:
301-405-4227
Address:
0141A LeFrak Hall

 

CV

Research/Clinical Interests:

Language acquisition

Psycholinguistics

Development of semantics-pragmatics interface

 

Courses Taught in the Past Five Years

HESP 818: Topics in Language Development

HESP 400: Speech and Language Development in Children

HESP 300: Introduction to Psycholinguistics

 

Recent Research/Clinical Activities:

Language development involves more than just learning words or syntactic rules. In order to comprehend and produce utterances, young learners must also acquire the ability to coordinate linguistic representations in real-time. During this process, do children consistently generate the same kinds of interpretations as adults do? When they fail to do so, what do these differences reveal about nature of development? Over the past ten years, my fascination with these questions has led to a research program that explores how the moment-to-moment changes that occur during language processing influence the year-to-year changes that emerge over the course of language development. This work relies on the use of eye-tracking, an innovative method that yields implicit and fine-grained measures of children’s interpretation, and focuses on changes in development that occur during middle childhood. By five years of age, children have learned the grammatical structures of their language. But many of their cognitive capacities are not fully mature: Unlike adults, they have smaller memory spans, slower processing speeds, and poorer inhibitory control. My research explores how limitations in these domain-general capacities interact with language development.

The following examples illustrate the scope of this work:

1. Semantics-pragmatics interface. While communication involves both understanding the literal meanings of a speaker’s utterance and generating inferences to capture his/her intent, sometimes the boundary between the two is unclear and counterintuitive. For example, in the case of quantifiers, theories of language posit that the meaning of an utterance like “some of the cookies” encompasses the meaning of all of them. Yet in everyday conversations, there is a strong intuition to interpret some as implying not all. How do these levels of representation interact during language comprehension and acquisition? A priori, the sheer frequency and ubiquity of the inference made it unlikely that adults (and possibly children) would ever entertain the less common and less precise meaning. Nevertheless, our research has found that both adults and children initially interpreted some with respect to its semantics. Critically unlike adults, children never invoke the late-emerging inferential process. These findings suggest that inferences that require the coordination of multiple representations during real-time comprehension may be less reliable in populations with limited cognitive resources. Current studies examine other aspects of the semantics-pragmatics interface, including how children predict the meaning of utterances based on referential cues in the scene.

2. Cross-linguistic comparisons. English-speaking children have been shown to have problems with the comprehension of passive sentences like “the seal is eaten by the shark.” While previous theories have attributed these difficulties to an immature grammatical system, we recently explored the degree to which children’s failures reflect the challenges that passives pose for incremental language comprehension. Passive and active sentences cannot be distinguished until after the verb, creating a temporary ambiguity in the grammatical role of the subject (agent vs. theme). Because passives occur less frequently, they may be initially misanalyzed as actives and require later revision following the onset of the verb. This ambiguity is less pronounced in languages like Mandarin where morphosyntactic markers can identify the roles of arguments early in an utterance. We found that Mandarin-speaking children efficiently use these markers to make on-line predictions about role assignments. However, children’s off-line actions revealed that they consistently misinterpreted passives when it required revision of an agent-first bias. This suggests that developmental difficulties with passives stem from children’s incremental grammatical processing and their failure to revise initial interpretations. Current studies examine how cross-linguistic differences in word order and linguistic cues can offer unique insights into the role of processing during language acquisition.

3. Word recognition. Recognizing words in spoken utterances requires the coordination of multiple procedures, including the mapping of speech onto phonemes, the activation of lexical entries/concepts, and the interpretation of the utterance with respect to the visual scene. In adults, these processes occur rapidly and efficiently but how does this cascaded processing develop? To address this question, we presented 5-year-olds with pictures of logs (target) and a key (competitor) and asked them to “pick up the logs.” If cascaded processing is an architectural feature that is present early in development, then speech input from the target (“lo-“) should lead to access of an absent phonological cohort (lock) which in turn should activate a semantically-related competitor (key). In contrast, if this ability depends on extensive linguistic experience, then children’s looks to the competitor may not differ from an unrelated control item. We found that both children and adults showed increased looks to the competitor following target onset. However unlike adults, children also had a small but reliable tendency to erroneously select this competitor in their actions. These findings demonstrate cascaded processing in children’s word recognition and suggest a developmental difference in the inhibitory mechanisms that rule out competing lexical entries.

4. Reading development. Research on reading development has traditionally focused on the acquisition of domain-specific knowledge such as letter recognition or phonological awareness. However reading for comprehension also requires the on-line coordination of several cognitive and linguistic processes including visual encoding, phonological/orthographic analysis, and lexical retrieval. The current research aims to understand the role of processing in reading development by bringing together a traditional paradigm from early literacy research (the Rapid Automatized Naming task) with methods from psycholinguistic research (eye-tracking while reading/speaking). This innovative approach will offer a fine-grained measure that is sensitive to changes in encoding for individual items in the array, providing more detailed descriptions of how factors influence the execution of various component processes. It will also offer a continuous measure that is sensitive to changes in performance over adjacent items in the array, providing more detailed descriptions of how the processing of a current item affects the processing of a subsequent item. Thus rather than expressing variability along a single final response time, variability can be captured along multiple dimensions. This opens the door for richer descriptions of how processing strategies may differ across children and over time.

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