Verified claim · AI-ML · 100% confidence
Byte-Pair Encoding (BPE) for Neural Machine Translation introduced in paper: Neural Machine Translation of Rare Words with Subword Units (Sennrich et al., 2015).
Last verified 2026-05-16 · Methodology veritas-v0.1 · e942c93d70a4dab2
Structured fields
- Subject
- Byte-Pair Encoding (BPE) for Neural Machine Translation
- Predicate
introduced_in_paper- Object
- Neural Machine Translation of Rare Words with Subword Units (Sennrich et al., 2015)
- Confidence
- 100%
- Tags
- bpe · tokenization · foundational · sennrich · 2015 · acl · nmt
Sources (2)
[1] preprint · arXiv (Sennrich, Haddow, Birch) · 2015-08-31
Neural Machine Translation of Rare Words with Subword Units“We introduce a simpler and more effective approach, making the NMT model capable of open-vocabulary translation by encoding rare and unknown words as sequences of subword units.”
[2] peer reviewed · Association for Computational Linguistics · 2016-08-07
Neural Machine Translation of Rare Words with Subword Units (ACL 2016)
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cURL
curl https://sourcescore.org/api/v1/claims/e942c93d70a4dab2.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/e942c93d70a4dab2.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Byte-Pair Encoding (BPE) for Neural Machine Translation introduced in paper: Neural Machine Translation of Rare Words with Subword Units (Sennrich et al., 2015)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/e942c93d70a4dab2.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Byte-Pair Encoding (BPE) for Neural Machine Translation introduced in paper: Neural Machine Translation of Rare Words with Subword Units (Sennrich et al., 2015)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_byte_pair_encoding_bpe_for_neural_machine_translation_fact() -> dict:
"""Fetch the verified SourceScore claim for Byte-Pair Encoding (BPE) for Neural Machine Translation."""
r = httpx.get("https://sourcescore.org/api/v1/claims/e942c93d70a4dab2.json")
return r.json()