most citedImproving Korean NLP Tasks with Linguistically Informed Subword Tokenization and Sub-character Decomposition

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2023★ 1 cited

Improving Korean NLP Tasks with Linguistically Informed Subword Tokenization and Sub-character Decomposition

Taehee Jeon, Bongseok Yang, Changhwan Kim +1

We introduce a morpheme-aware subword tokenization method that utilizes sub-character decomposition to address the challenges of applying Byte Pair Encoding (BPE) to Korean, a lang…