Elika Bergelson
Crandall Family Assistant Professor
Overview
Dr. Bergelson accepts PhD applicants through the Developmental and Cog/CogNeuro areas of P&N and the CNAP program.
In my research, I try to understand the interplay of processes during language acquisition.
In particular, I am interested in how word learning relates to other aspects of learning language (e.g. speech sound acquisition, grammar/morphology learning), and social/cognitive development more broadly (e.g. joint attention processes) in the first few years of life.
I pursue these questions using three main approaches: in-lab measures of early comprehension and production (eye-tracking, looking-time, and in EEG studies in collaboration with the Woldorff lab), and at-home measures of infants' linguistic and social environment (as in the SEEDLingS project).
More recently the lab is branching out to look at a wider range of human populations and at infants who are blind or deaf/heard of hearing.
Selected Grants
Otolaryngology Surgeon- Scientist career Path (OSSP) program awarded by National Institutes of Health (Mentor). 2022 to 2027
Expanding the Observer-Reported Communication Ability (ORCA) Measure: Measuring the communication ability of individuals with rare, neurodevelopmental disorders awarded by Food and Drug Administration (Co Investigator). 2021 to 2026
CAREER: Understanding Early Language: Evidence from Blind Infants & Deaf Infants awarded by National Science Foundation (Principal Investigator). 2019 to 2024
Investigating the role of intra- and inter- talker acoustic variability on word learning in infants awarded by National Institutes of Health (Principal Investigator). 2019 to 2022
Analyzing Child Language Experiences Around the World (ACLEW) awarded by National Endowment for the Humanities (Principal Investigator). 2017 to 2020
Mechanisms of Word Learning in Infancy awarded by National Institutes of Health (Principal Investigator). 2014 to 2020
Dailey, Shannon, and Elika Bergelson. “Language input to infants of different socioeconomic statuses: A quantitative meta-analysis.” Developmental Science, vol. 25, no. 3, May 2022, p. e13192. Epmc, doi:10.1111/desc.13192. Full Text
Campbell, Erin, and Elika Bergelson. “Characterizing North Carolina's Deaf and Hard of Hearing Infants and Toddlers: Predictors of Vocabulary, Diagnosis, and Intervention.” Journal of Speech, Language, and Hearing Research : Jslhr, vol. 65, no. 5, May 2022, pp. 1894–905. Epmc, doi:10.1044/2022_jslhr-21-00245. Full Text
Bulgarelli, Federica, and Elika Bergelson. “Talker variability shapes early word representations in English-learning 8-month-olds.” Infancy : The Official Journal of the International Society on Infant Studies, vol. 27, no. 2, Mar. 2022, pp. 341–68. Epmc, doi:10.1111/infa.12452. Full Text
Meylan, Stephan C., and Elika Bergelson. “Learning Through Processing: Toward an Integrated Approach to Early Word Learning.” Annual Review of Linguistics, vol. 8, Jan. 2022, pp. 77–99. Epmc, doi:10.1146/annurev-linguistics-031220-011146. Full Text
Liu, Jingxuan, et al. Language experience shapes music processing across 40 tonal, pitch-accented, and non-tonal languages. Oct. 2021. Epmc, doi:10.1101/2021.10.18.464888. Full Text
Cychosz, Margaret, et al. “Vocal development in a large-scale crosslinguistic corpus.” Developmental Science, vol. 24, no. 5, Sept. 2021, p. e13090. Epmc, doi:10.1111/desc.13090. Full Text Open Access Copy
Bulgarelli, Federica, and Elika Bergelson. Talker variability shapes early word representations in English-learning 8-month-olds. Aug. 2021. Epmc, doi:10.31234/osf.io/rxyjc. Full Text
Bulgarelli, Federica, et al. Quantifying talker variability in North-American infant's daily input. Aug. 2021. Epmc, doi:10.31234/osf.io/2xj36. Full Text
Soderstrom, Melanie, et al. “Developing a Cross-Cultural Annotation System and MetaCorpus for Studying Infants’ Real World Language Experience.” Collabra: Psychology, vol. 7, no. 1, University of California Press, May 2021. Crossref, doi:10.1525/collabra.23445. Full Text Open Access Copy
Meylan, Stephan, and Elika Bergelson. Learning through processing: Towards an integrated approach to early word learning. May 2021. Epmc, doi:10.31234/osf.io/4zxfp. Full Text
Pages
Meylan, Stephan C., et al. “Children's Expressive and Receptive Knowledge of the English Regular Plural.” Cogsci, edited by Stephanie Denison et al., cognitivesciencesociety.org, 2020.
Schuller, B. W., et al. “The INTERSPEECH 2019 computational paralinguistics challenge: Styrian dialects, continuous sleepiness, baby sounds & Orca activity.” Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech, vol. 2019-September, 2019, pp. 2378–82. Scopus, doi:10.21437/Interspeech.2019-1122. Full Text
Bunce, John, et al. “Daylong data: Raw audio to transcript via automated \& manual open-science tools.” Cogsci, edited by Ashok K. Goel et al., cognitivesciencesociety.org, 2019, pp. 15–16.
Ryanta, N., et al. “Enhancement and analysis of conversational speech: JSALT 2017.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, vol. 2018-April, 2018, pp. 5154–58. Scopus, doi:10.1109/ICASSP.2018.8462468. Full Text
Amatuni, Andrei, et al. Preserved Structure Across Vector Space Representations. 2018. Open Access Copy
Amatuni, Andrei, and Elika Bergelson. Semantic Networks Generated from Early Linguistic Input. 2017. Epmc, doi:10.1101/157701. Full Text
Bergelson, Elika, et al. “Description of the Homebank Child/Adult Addressee Corpus (HB-CHAAC).” Interspeech, edited by Francisco Lacerda, ISCA, 2017.
Laing, Catherine, and Elika Bergelson. “More Siblings Means Lower Input Quality in Early Language Development.” Cogsci, edited by Glenn Gunzelmann et al., cognitivesciencesociety.org, 2017.
Casillas, M., et al. “What do babies hear? Analyses of child-and adult-directed speech.” Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech, vol. 2017-August, 2017, pp. 2093–97. Scopus, doi:10.21437/Interspeech.2017-1409. Full Text
Casillas, M., et al. “A new workflow for semi-Automatized annotations: Tests with long-form naturalistic recordings of childrens language environments.” Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech, vol. 2017-August, 2017, pp. 2098–102. Scopus, doi:10.21437/Interspeech.2017-1418. Full Text