doi/Unsupervised_Metrics_CLD_Sy: Towards unsupervised metrics of child language development. Yaya Sy

yaya-sy 24feb5e9fd opensubtitles downloader only phonemes		1 年之前
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.gitattributes	2702adb24e Apply YODA dataset setup	2 年之前
README.md	2702adb24e Apply YODA dataset setup	2 年之前
download_childes_corpora.py	b4fa96e143 add rmarkdown code	1 年之前
download_opensubtitles_corpora.py	24feb5e9fd opensubtitles downloader only phonemes	1 年之前
evaluate_language_models.py	202ad44f37 importing conda environment	1 年之前
get_most_probable_phonemes.py	b4fa96e143 add rmarkdown code	1 年之前
make_noiser.py	b4fa96e143 add rmarkdown code	1 年之前
one_utterance_per_line_to_json.py	b4fa96e143 add rmarkdown code	1 年之前
test_on_all_languages.py	f7c6ced59f add plot	1 年之前
train_language_models.sh	7ac48a81ab update readme	1 年之前
utterances_cleaner.py	b4fa96e143 add rmarkdown code	1 年之前

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