Bernard G. Grela, Ph.D.

Associate Professor
Department of Communication Sciences

Child Language Development and Child Language Disorders



bernard.grela@uconn.edu


Education

 


Research Interests
 
    The process of language development in normally developing children and children with specific language impairment (SLI).  Current work has been focusing on linguistic complexity and the impact of complexity on grammatical errors in children.  This research stems from a background in cognitive psychology and psycholinguistics.


Current Projects

1.  Verb learning following the manipulation of argument structure.  Can children with SLI use argument structure alternations to learn the meaning of novel verbs ?

2. Perception of real and nonsense words in children with SLI. This study examines children's abilities to perceive words when discrepant auditory and visual information (McGurk Effect) are presented. Our prediction is that children with SLI will have difficulty fusing the discrepant information (Collaborator: Kathleen Cienkowski).

3. Grammaticality judgement in children with SLI. This is a partial replictation of Montgomery and Leonard (1998). We have modified their experiment by introducing speech-weighted noise following the grammatical morphemes of low phonetic substance. We are interested in determining whether backward masking has the same effect as linguistic content following the grammatical morpheme (Collaborator: Deborah Moncrieff).

4. When languages clash: lexical aspect and past tense morphology in African American English. This study examined whether children’s use of regular past tense morphology is dependent upon their production of telic and atelic verbs (Collaborator: Valerie Johnson).


Child Language Lab
  The child language lab is housed on the lower floor of the Communication Sciences building. It serves as the research center to examine the communication skills of children with language impairments and their normally developing peers. We are equipped to see children for experiments and complete data analysis.

 



Courses Taught

 


Vita


 

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