
climb-mao/english-climb-roberta_pre_layer_norm-model
Updated
None defined yet.
Salhan et al (2024) creates age-ordered corpora of Child-Directed Speech for four typologically distant language families to implement SSLMs and acquisition-inspired curricula cross-lingually.
The MAO-CHILDES dataset contains extract orthographic datasets for French, German, Japanese and Chinese and several other lower-resource languages. It is part of a wider effort for cognitively-inspired pretraining using resources from Language Acquistiion.
You can also find pretrained BabyLMs for French, German, Japanese and Chinese with three different cognitively-inspired curriculum learning in the branches of each language-specific BabyLM.