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The first words acquired by the models were all in the top 3% of frequent words, and the last acquired words were all in the bottom 15%. Driven by this effect, many of the first words learned by the language models were function words or pronouns.
Jan 28, 2022
Oct 5, 2021 · We investigate how neural language models acquire individual words during training, extracting learning curves and ages of acquisition for over 600 words.
We investigate how neural language models acquire individual words during training, extracting learning curves and ages of acquisition for over 600 words on the ...
Code and data for the paper Word Acquisition in Neural Language Models (TACL 2022). Includes code for pre-training Transformer and RNN language models, ...
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We investigate how neural language models acquire individual words during training, extracting learning ... Word Acquisition in Neural Language Models. @article{ ...
We investigate how neural language models acquire individual words during training, extracting learning curves and ages of acquisition for over 600 words on the ...
We use the average surprisal of words for the model, which encodes sequential predictability, as a predictor for the age of acquisition of words in early child ...
Jun 20, 2023 · We construct neural language models can solve the next-word prediction task in this context with zero error.
Missing: Acquisition | Show results with:Acquisition
Jul 9, 2023 · With the success of neural language models. (LMs), their language acquisition has gained much attention. This work sheds light on the.
1) The document investigates how neural language models acquire individual words ... Word Acquisition in Neural Language Models.