158 citations · 240 across the 9 of their papers we have counts for
4 papers · 1 filter
Learning Language-Specific Layers for Multilingual Machine Translation
Telmo Pessoa Pires, Robin M. Schmidt, Yi-Hsiu Liao +1
Multilingual Machine Translation promises to improve translation quality between non-English languages. This is advantageous for several reasons, namely lower latency (no need to t…
State Spaces Aren't Enough: Machine Translation Needs Attention
Ali Vardasbi, Telmo Pessoa Pires, Robin M. Schmidt +1
Structured State Spaces for Sequences (S4) is a recently proposed sequence model with successful applications in various tasks, e.g. vision, language modeling, and audio. Thanks to…
Non-Autoregressive Neural Machine Translation: A Call for Clarity
Robin M. Schmidt, Telmo Pires, Stephan Peitz +1
Non-autoregressive approaches aim to improve the inference speed of translation models by only requiring a single forward pass to generate the output sequence instead of iterativel…
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann +122
Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained…