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Subword Segmental BabyLMs: Learning to Tokenise for Sample-Efficient Pretraining
In the standard LM training pipeline, subword tokenisation is applied as a preprocessing step. Subword segmental language modelling is an alternative paradigm in which tokenisation is learned during training, allowing the model to discover subword units that optimise its training objective. In this
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