Verified claim · AI-ML · 100% confidence
SentencePiece tokenizer introduced in paper: SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing (Kudo & Richardson, 2018).
Last verified 2026-05-16 · Methodology veritas-v0.1 · 0d47bb8eb637a2e4
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Structured fields
- Subject
- SentencePiece tokenizer
- Predicate
introduced_in_paper- Object
- SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing (Kudo & Richardson, 2018)
- Confidence
- 100%
- Tags
- sentencepiece · tokenization · google · foundational · 2018
Sources (2)
[1] preprint · arXiv (Kudo, Richardson) · 2018-08-19
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing“This paper describes SentencePiece, a language-independent subword tokenizer and detokenizer designed for Neural-based text processing, including Neural Machine Translation.”
[2] github release · Google · 2018-08-19
google/sentencepiece — official implementation
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SentencePiece tokenizer introduced in paper: SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing (Kudo & Richardson, 2018). — SourceScore Claim 0d47bb8eb637a2e4 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/0d47bb8eb637a2e4.jsonEmbed this claim
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Yes — SourceScore verified this claim with 100% confidence as of 2026-05-16. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
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// "SentencePiece tokenizer introduced in paper: SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing (Kudo & Richardson, 2018)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/0d47bb8eb637a2e4.json")
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# "SentencePiece tokenizer introduced in paper: SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing (Kudo & Richardson, 2018)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_sentencepiece_tokenizer_fact() -> dict:
"""Fetch the verified SourceScore claim for SentencePiece tokenizer."""
r = httpx.get("https://sourcescore.org/api/v1/claims/0d47bb8eb637a2e4.json")
return r.json()