Language Development Research: A Platinum Open Science Journal with no fees for readers or authors.
Carnegie Mellon University
Joined September 2019
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Thanks to our new followers, but we're not active on here anymore - please join us at the other place - the one where the sky is blue!
Hi everyone - We're not killing this account off just yet but like many people/organizations we're essentially transferring to the other place - see you there!
Language Development Research retweeted
It was a wonderful experience publishing with @LangDevRes ! So glad we have this platinum #OpenAccess journal in our field! Two thumbs up 👍 👍 – at Montréal, Québec
Another NEW platinum-open-access article with important real-world implications: @LVKremin, Amel Jordan, Casey Lew-Williams and @Krista_BH @Concordia @Princeton - "Bilingual children’s comprehension of code-switching at an uninformative adjective"
doi.org/10.34842/zyvj-cv60
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How come? Here, the switch came at an uninformative adjective (e.g., "le bon" duck didn't help children with their task of finding the duck onscreen) so maybe that's why it didn't interfere with processing (and perhaps the switch boosted attention) 4/n
Happy publication day to Janet Bang, George @kachergis Adriana Weisleder @adriweis and Virginia @V_Marchman for their groundbreaking methods paper:
An automated classifier for periods of sleep and target-child-directed speech from LENA recordings
doi.org/10.34842/xmrq-er43
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We're honoured that these researchers have chosen to publish such methodologically groundbreaking research with LDR, and thank them for supporting our platinum open access (that's no fees for anyone!) model.
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And of course, their classifier tool is freely available for colleagues too: github.com/kachergis/tCDS_na…
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Language Development Research retweeted
Forced aligners work better on adults than children. We tried different aligner configs with HTK and MFA, thinking that using child speech in training data would be important. We were wrong, MFA with models pretrained on lots of adult speech was better than anything else!
Language Development Research retweeted
And thanks @LangDevRes for being a cool Open Science journal!
"We don't believe in locking articles behind paywalls, in charging taxpayers and universities to publish research they've already funded..."
ldr.lps.library.cmu.edu/
Happy publication day to Robert Fromont and co-authors: Maximizing accuracy of forced alignment for spontaneous child speech doi.org/10.34842/shrr-sv10 🧵1/n
And perhaps surprisingly, having LOTS of training data was more important than having training data similar to the child test data. The "winner" was trained on adult speech (just lots of it) 5/n