Can an Old Dog Be Taught New Tricks? Taking LLMs Beyond Sentence Level Translation
Automatic translation systems, from CAT tools to MT, overwhelmingly treat translation as a sentence-by-sentence act. This paper asks whether LLMs can be moved beyond that paradigm through whole-document, corpus-informed translation. We present PAT (Pragmatic Auto-Translator), a RAG-based system that pairs user-configured specifications with context from a comparable corpus of authentic longform texts in U.S. English and Latin American Spanish, passing retrieved paragraph-, section-, and document-level examples to an LLM for whole-document generation. The goal is draft translation for professio
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 54%Improving machine-translated novels via style transfer — looking for advice on the faithfulness/fluency tradeoff [P] →
- LinkedLinked via arxiv author · 85%Alaina Brandt →
“Can an Old Dog Be Taught New Tricks? Taking LLMs Beyond Sentence Level Translation”