Unverified50% confidenceFactExact time
A parallel corpus is a bilingual aligned dataset composed of source-language sentences and their corresponding target-language translations, and is the core training material for machine translation.
1
Sources
50%
Confidence
Long-term
Relevance
9/25/2026
First Seen
Sources
Related Entities
Related Claims
Unverified端到端语音-语音翻译模型通过海量多语言平行语料联合训练，在潜在空间完成跨语言转换，可将端到端延迟压缩至亚秒级73% similarVerifiedModern multilingual large models establish language-agnostic semantic representations during the pre-training phase, building cross-lingual semantic alignment in high-dimensional vector space through joint training on massive multilingual corpora.72% similarUnverified现代多语言模型如mT5、BLOOM和Llama系列在数百种语言的文本上联合训练，通过共享词汇表和跨语言注意力机制构建跨语言语义地图72% similarUnverified实时双向口译在技术上称为同声传译自动化（Automated Simultaneous Interpretation），长期是计算语言学难题71% similarUnverifiedThe core of vocabulary intervention methods is to perform lightweight operations at the lexical level, bypassing the heavy reliance on parallel data, translation systems, and additional training stages.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/949202API
curl https://kongchang.com/api/v1/knowledge/claims/949202MCP
get_claim(id=949202)