Papers › Tokenization with Factorized Subword Encoding

Tokenization with Factorized Subword Encoding

13 Jun 2023arXiv:2306.07764archive 2025-07-28

David Samuel, Lilja Øvrelid

In recent years, language models have become increasingly larger and more complex. However, the input representations for these models continue to rely on simple and greedy subword tokenization methods. In this paper, we propose a novel tokenization method that factorizes subwords onto discrete triplets using a VQ-VAE model. The effectiveness of the proposed tokenization method, referred to as the Factorizer, is evaluated on language modeling and morpho-syntactic tasks for 7 diverse languages. Results indicate that this method is more appropriate and robust for morphological tasks than the commonly used byte-pair encoding (BPE) tokenization algorithm.

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Language ModelingLanguage Modelling

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VQ-VAE

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