68 citations · 76 across the 4 of their papers we have counts for
4 papers · 1 filter
Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation
Biao Zhang, Barry Haddow, Rico Sennrich
For end-to-end speech translation, regularizing the encoder with the Connectionist Temporal Classification (CTC) objective using the source transcript or target translation as labe…
Prompting Large Language Model for Machine Translation: A Case Study
Biao Zhang, Barry Haddow, Alexandra Birch
Research on prompting has shown excellent performance with little or even no supervised training across many tasks. However, prompting for machine translation is still under-explor…
Quantifying Synthesis and Fusion and their Impact on Machine Translation
Arturo Oncevay, Duygu Ataman, Niels van Berkel +3
Theoretical work in morphological typology offers the possibility of measuring morphological diversity on a continuous scale. However, literature in Natural Language Processing (NL…
HUME: Human UCCA-Based Evaluation of Machine Translation
Alexandra Birch, Omri Abend, Ondrej Bojar +1
Human evaluation of machine translation normally uses sentence-level measures such as relative ranking or adequacy scales. However, these provide no insight into possible errors, a…