Papers with unigram LM method

1 papers
Byte Pair Encoding is Suboptimal for Language Model Pretraining (2020.findings-emnlp)

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Challenge: Subword tokenization is a popular language model that can be used to segment text.
Approach: They analyze differences between byte-pair encoding (BPE) and unigram LM tokenization methods to find subword units that align more closely with morphology.
Outcome: The proposed method recovers subword units that align more closely with morphology and avoids problems stemming from BPE’s greedy construction procedure.

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