TransClean: A Benchmark for Detecting and Extracting Clean Translations from Large Language Model Outputs
This work analyzes over 790,000 translation outputs from 12 LLMs across 22 language pairs (LPs) and identifies 12 recurring noise patterns, which are group into formatting and content noise, and constructs TransClean, a controlled benchmark of 9,900 pairs of noisy and clean translation outputs.