| 2 |
Vocal development in a large‐scale crosslinguistic corpus
|
|
|
|
In: ISSN: 1363-755X ; EISSN: 1467-7687 ; Developmental Science ; https://hal.archives-ouvertes.fr/hal-03498978 ; Developmental Science, Wiley, 2021, 24 (5), ⟨10.1111/desc.13090⟩ (2021)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Analyzing contingent interactions in R with `chattr`
|
|
|
|
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Developing a Cross-Cultural Annotation System and MetaCorpus for Studying Infants’ Real World Language Experience
|
|
|
|
BASE
|
|
Show details
|
|
|
| 8 |
English-Speaking Adults' Labeling of Child- and Adult-Directed Speech Across Languages and Its Relationship to Perception of Affect
|
|
|
|
In: Front Psychol (2021)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
What Do North American Babies Hear? A large-scale cross-corpus analysis.
|
|
|
|
BASE
|
|
Show details
|
|
|
| 12 |
ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordings
|
|
|
|
In: Behav Res Methods (2020)
|
|
Abstract:
Recordings captured by wearable microphones are a standard method for investigating young children’s language environments. A key measure to quantify from such data is the amount of speech present in children’s home environments. To this end, the LENA recorder and software—a popular system for measuring linguistic input—estimates the number of adult words that children may hear over the course of a recording. However, word count estimation is challenging to do in a language- independent manner; the relationship between observable acoustic patterns and language-specific lexical entities is far from uniform across human languages. In this paper, we ask whether some alternative linguistic units, namely phone(me)s or syllables, could be measured instead of, or in parallel with, words in order to achieve improved cross-linguistic applicability and comparability of an automated system for measuring child language input. We discuss the advantages and disadvantages of measuring different units from theoretical and technical points of view. We also investigate the practical applicability of measuring such units using a novel system called Automatic LInguistic unit Count Estimator (ALICE) together with audio from seven child-centered daylong audio corpora from diverse cultural and linguistic environments. We show that language-independent measurement of phoneme counts is somewhat more accurate than syllables or words, but all three are highly correlated with human annotations on the same data. We share an open-source implementation of ALICE for use by the language research community, enabling automatic phoneme, syllable, and word count estimation from child-centered audio recordings.
|
|
Keyword:
Article
|
|
URL: http://www.ncbi.nlm.nih.gov/pubmed/32875399
https://doi.org/10.3758/s13428-020-01460-x
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062390/
|
|
BASE
|
|
Hide details
|
|
|
| 13 |
BabbleCor: A Crosslinguistic Corpus of Babble Development in Five Languages ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 14 |
What Do North American Babies Hear? A large-scale cross-corpus analysis
|
|
|
|
BASE
|
|
Show details
|
|
|
|
|
