2 citations · 2 across the 1 of their papers we have counts for
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A comparison of translation performance between DeepL and Supertext
Alex Flückiger, Chantal Amrhein, Tim Graf +5
As strong machine translation (MT) systems are increasingly based on large language models (LLMs), reliable quality benchmarking requires methods that capture their ability to leve…
Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model
Chantal Amrhein, Florian Schottmann, Rico Sennrich +1
Natural language generation models reproduce and often amplify the biases present in their training data. Previous research explored using sequence-to-sequence rewriting models to…
The Impact of Text Presentation on Translator Performance
Samuel Läubli, Patrick Simianer, Joern Wuebker +3
Widely used computer-aided translation (CAT) tools divide documents into segments such as sentences and arrange them in a side-by-side, spreadsheet-like view. We present the first…