Performance and Biases of the LENA and ACLEW Algorithms in Analyzing Language Environments in Down, Fragile X, Angelman Syndromes, and Populations at Elevated Likelihood for Autism

Marvin Lavechin, Lisa R. Hamrick, Bridgette Kelleher, Amanda Seidl

Open source

DOI
10.1111/desc.70239
Published
2026-07-08
Container
Developmental Science
Publisher
Wiley
Open access
unknown

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BibTeX

@article{allodium:10.1111/desc.70239,
  title = {Performance and Biases of the LENA and ACLEW Algorithms in Analyzing Language Environments in Down, Fragile X, Angelman Syndromes, and Populations at Elevated Likelihood for Autism},
  author = {Marvin Lavechin and Lisa R. Hamrick and Bridgette Kelleher and Amanda Seidl},
  year = {2026},
  journal = {Developmental Science},
  doi = {10.1111/desc.70239},
  url = {https://doi.org/10.1111/desc.70239}
}

RIS

TY  - JOUR
TI  - Performance and Biases of the LENA and ACLEW Algorithms in Analyzing Language Environments in Down, Fragile X, Angelman Syndromes, and Populations at Elevated Likelihood for Autism
AU  - Marvin Lavechin
AU  - Lisa R. Hamrick
AU  - Bridgette Kelleher
AU  - Amanda Seidl
PY  - 2026
JO  - Developmental Science
DO  - 10.1111/desc.70239
UR  - https://doi.org/10.1111/desc.70239
ER  - 

APA

Lavechin, M., Hamrick, L. R., Kelleher, B., & Seidl, A. (2026). Performance and Biases of the LENA and ACLEW Algorithms in Analyzing Language Environments in Down, Fragile X, Angelman Syndromes, and Populations at Elevated Likelihood for Autism. Developmental Science. https://doi.org/10.1111/desc.70239

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