3 papers
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
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…
cs.CL2023
Split and Rephrase with Large Language Models
David Ponce, Thierry Etchegoyhen, Jesús Calleja Pérez +1
The Split and Rephrase (SPRP) task, which consists in splitting complex sentences into a sequence of shorter grammatical sentences, while preserving the original meaning, can facil…