Papers by Joohong Lee

1 papers
An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks (2020.aacl-main)

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Challenge: Traditionally, tokenization is the very first step in most text processing works.
Approach: They propose to use morphological segmentation followed by BPE for Korean NLP tasks . they empirically examine what is the best tokenization strategy for Korean to/from English .
Outcome: The proposed approach is best for Korean to/from English machine translation and natural language understanding tasks.

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