Unverified50% confidenceFactExact time
For Chinese, the tokenization method significantly affects recall; using a dictionary-free segmentation approach such as bigrams avoids maintaining a vocabulary list, but the number of index entries increases.
1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
Related Entities
Related Claims
Unverified新一代分词器通常能以更少的Token表达相同语义信息，对代码及中文、日文等非拉丁语言处理效率更高73% similarUnverified中文、日文等表意文字因BPE词表以英语语料为主，往往需要更多Token表达相同信息量72% similarUnverified不同分词算法（BPE、WordPiece等）导致同一段中文文本在不同模型中消耗的Token数量可能相差20%-40%71% similarUnverifiedToken segmentation logic varies by model; the handling of Chinese, code, and punctuation each differs, and a passage of English text may be split into far more tokens than the number of words69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1051170API
curl https://kongchang.com/api/v1/knowledge/claims/1051170MCP
get_claim(id=1051170)