LAAC-LSCP/Unsupervised_Metrics_CLD_Sy: Towards unsupervised metrics of child language development. Yaya Sy @ ef5c5be41b43bb0effe72152caf66c944710a4c6

yaya-sy 24feb5e9fd opensubtitles downloader only phonemes		2 lat temu
..
.gitattributes	2702adb24e Apply YODA dataset setup	2 lat temu
README.md	2702adb24e Apply YODA dataset setup	2 lat temu
download_childes_corpora.py	b4fa96e143 add rmarkdown code	2 lat temu
download_opensubtitles_corpora.py	24feb5e9fd opensubtitles downloader only phonemes	2 lat temu
evaluate_language_models.py	202ad44f37 importing conda environment	2 lat temu
get_most_probable_phonemes.py	b4fa96e143 add rmarkdown code	2 lat temu
make_noiser.py	b4fa96e143 add rmarkdown code	2 lat temu
one_utterance_per_line_to_json.py	b4fa96e143 add rmarkdown code	2 lat temu
test_on_all_languages.py	f7c6ced59f add plot	2 lat temu
train_language_models.sh	7ac48a81ab update readme	2 lat temu
utterances_cleaner.py	b4fa96e143 add rmarkdown code	2 lat temu

All custom code goes into this directory. All scripts should be written such that they can be executed from the root of the dataset, and are only using relative paths for portability.

datacite.yml
Title	Unsupervised metrics of child language development
Authors	Sy,Yaya;LSCP;ORCID:0000-0002-0292-451X
Description	Code to extract metrics of child language development from language models based on n-grams.
License	Creative Commons CC 4.0 By (https://creativecommons.org/licenses/by/4.0/)
References	Sy, Y. (2022, July 18). Vers des métriques non supervisées des compétences langagières des enfants. [doi:10.31219/osf.io/4pe2u] (IsSupplementTo)
Funding	ANR, ANR-17-EURE-0017 J. S. McDonnell Foundation, Understanding Human Cognition Scholar Award ERC, European Union’s Horizon 2020 research and innovation programme (ExELang, Grant agreement No. 101001095)
Keywords	Language acquisition Language models Development Children n-gram Metrics Entropy
Resource Type	Software

README.md