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
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
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
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
Cristia, Alejandrina, et al. “A thorough evaluation of the Language Environment Analysis (LENA) system.” Behavior Research Methods, vol. 53, no. 2, Apr. 2021, pp. 467–86. Epmc, doi:10.3758/s13428-020-01393-5. Full Text
Meylan, Stephan C., et al. “Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication.” Corr, vol. abs/2102.03462, 2021. Open Access Copy
Laing, Catherine, and Elika Bergelson. “From babble to words: Infants' early productions match words and objects in their environment.” Cognitive Psychology, vol. 122, Nov. 2020, p. 101308. Epmc, doi:10.1016/j.cogpsych.2020.101308. Full Text
Soderstrom, Melanie, et al. Developing A Cross-Cultural Annotation System and MetaCorpus for Studying Infants’ Real World Language Experience. Sept. 2020. Epmc, doi:10.31234/osf.io/bf63y. Full Text
Bunce, John, et al. A cross-cultural examination of young children’s everyday language experiences. Sept. 2020. Epmc, doi:10.31234/osf.io/723pr. Full Text
Sheskin, Mark, et al. “Online Developmental Science to Foster Innovation, Access, and Impact.” Trends in Cognitive Sciences, vol. 24, no. 9, Sept. 2020, pp. 675–78. Epmc, doi:10.1016/j.tics.2020.06.004. Full Text
Bergelson, Elika. “The Comprehension Boost in Early Word Learning: Older Infants Are Better Learners.” Child Development Perspectives, vol. 14, no. 3, Sept. 2020, pp. 142–49. Epmc, doi:10.1111/cdep.12373. 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.” Corr, vol. abs/1802.00840, 2018. Open Access Copy
Amatuni, Andrei, and Elika Bergelson. Semantic Networks Generated from Early Linguistic Input. 2017. Epmc, doi:10.1101/157701. Full Text
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
Warlaumont, A. S., et al. “Home Bank: A repository for long-form real-world audio recordings of children.” Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech, vol. 2017-August, 2017, pp. 815–16. Manual, doi:10.21437/Interspeech.2017-2051. Full Text
Schuller, B., et al. “The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring.” Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech, vol. 2017-August, 2017, pp. 3442–46. Scopus, doi:10.21437/Interspeech.2017-43. Full Text