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Boundless Byte Pair Encoding: Breaking the Pre-tokenization Barrier

Created by
  • Haebom

Author

Craig W. Schmidt, Varshini Reddy, Chris Tanner, Yuval Pinter

Outline

This paper identifies the limitations of pre-tokenization, the initial step in modern tokenization pipelines, and proposes BoundlessBPE, a novel BPE algorithm to overcome these limitations. Pre-tokenization generates tokens by segmenting text based on spaces and punctuation, which leads to a bias in token distribution toward common words. BoundlessBPE relaxes pre-token boundaries, merging semantically unconnected pre-tokens to create "superwords." This achieves a more even token distribution than standard BPE and enables up to 15% more effective text compression.

Takeaways, Limitations

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Takeaways:
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A new BPE algorithm is proposed to overcome the limitations of pre-tokenization and solve the problem of token distribution imbalance.
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Achieve up to 15% increase in bytes per token through more effective text compression.
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Presenting the potential to contribute to improving the performance of natural language processing models.
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Limitations:
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There is a possibility that model interpretation may be difficult due to the lack of consideration of semantic associations in the superword generation process.
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Further research is needed on the specific implementation method and performance comparison of the BoundlessBPE algorithm.
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Comparison with other tokenization methodologies and verification of generalization performance on various text datasets are needed.
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