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cs.CL2024
Does Context Help Mitigate Gender Bias in Neural Machine Translation?
Harritxu Gete, Thierry Etchegoyhen
Neural Machine Translation models tend to perpetuate gender bias present in their training data distribution. Context-aware models have been previously suggested as a means to miti…
cs.CL2024★ 1 cited
Automating Easy Read Text Segmentation
Jesús Calleja, Thierry Etchegoyhen, David Ponce
Easy Read text is one of the main forms of access to information for people with reading difficulties. One of the key characteristics of this type of text is the requirement to spl…
cs.CL2024
Promoting Target Data in Context-aware Neural Machine Translation
Harritxu Gete, Thierry Etchegoyhen
Standard context-aware neural machine translation (NMT) typically relies on parallel document-level data, exploiting both source and target contexts. Concatenation-based approaches…