Japanese G2P (Parse Mode): leaderboard

Japanese grapheme-to-phoneme conversion (2026): LLMs read 3,000 manually annotated JVS corpus sentences into kana, the pronunciation input for text-to-speech. In parse mode the LLM segments each sentence and gives word readings, and rule-based post-processing applies particle and long-vowel rules; the score is kana character error rate in percent, lower is better.

Metric: Kana character error rate (%; can exceed 100) in parse mode (the LLM segments the sentence and gives each word's reading as JSON, then rule-based post-processing applies particle and long-vowel rules) on the 3,000 manually annotated sentences of the JVS nonpara30 corpus; kana character error rate against the reference readings after removing punctuation and normalizing long vowels; reasoning disabled (non-thinking mode, or low reasoning effort where it cannot be disabled), few-shot prompts; lower is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 37 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.60.52#102
2Gemini 3.1 Pro (Preview) (Low)0.62#94 (Gemini 3.1 Pro (Preview))
3Claude Sonnet 4.60.82#161
4Gemini 3 Flash (Low)0.94#164 (Gemini 3 Flash)
5Gemini 2.5 Flash (Non-reasoning)1.08#453 (Gemini 2.5 Flash)
6Kimi K2.5 (Non-reasoning)1.35#256 (Kimi K2.5)
7GLM-5 (Non-reasoning)1.44#260 (GLM-5)
8GPT-5.2 (Non-reasoning)1.64#176 (GPT-5.2)
9Qwen 3.5 397B A17B (Non-reasoning)1.96#246 (Qwen 3.5 397B A17B)
10GPT-OSS-120B (Low)3.03#700 (GPT-OSS-120B)
11GLM-4.7 (Non-reasoning)3.7#366 (GLM-4.7)
12Gemma 3 27B5.75#1631
13Qwen 3.5 35B A3B (Non-reasoning)6.12#482 (Qwen 3.5 35B A3B)
14Qwen 3.5 27B (Non-reasoning)6.27#359 (Qwen 3.5 27B)
15Llama 3.3 70B Instruct6.58#1357

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=japanese-g2p-parse-mode · How It Works · Data refreshed daily, snapshot 2026-11-13.