Larger and Japanese-specialized LLMs outperform conventional morphological analyzers on Japanese G2P conversion, with parse-mode prompting yielding the lowest character error rates below 0.52%.
Vaporetto: Efficient Japanese tokenization based on improved pointwise linear classi- fication,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Benchmarking Large Language Models for Grapheme-to-Phoneme Conversion: A Japanese Case Study
Larger and Japanese-specialized LLMs outperform conventional morphological analyzers on Japanese G2P conversion, with parse-mode prompting yielding the lowest character error rates below 0.52%.