106 citations · 785 across the 59 of their papers we have counts for
9 papers · 1 filter
A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography
Noëmi Aepli, Chantal Amrhein, Florian Schottmann +1
For sensible progress in natural language processing, it is important that we are aware of the limitations of the evaluation metrics we use. In this work, we evaluate how robust me…
Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding
Rico Sennrich, Jannis Vamvas, Alireza Mohammadshahi
Hallucinations and off-target translation remain unsolved problems in MT, especially for low-resource languages and massively multilingual models. In this paper, we introduce two r…
Uncertainty in Natural Language Generation: From Theory to Applications
Joris Baan, Nico Daheim, Evgenia Ilia +7
Recent advances of powerful Language Models have allowed Natural Language Generation (NLG) to emerge as an important technology that can not only perform traditional tasks like sum…
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…
What's the Meaning of Superhuman Performance in Today's NLU?
Simone Tedeschi, Johan Bos, Thierry Declerck +9
In the last five years, there has been a significant focus in Natural Language Processing (NLP) on developing larger Pretrained Language Models (PLMs) and introducing benchmarks su…
SLTUNET: A Simple Unified Model for Sign Language Translation
Biao Zhang, Mathias Müller, Rico Sennrich
Despite recent successes with neural models for sign language translation (SLT), translation quality still lags behind spoken languages because of the data scarcity and modality ga…
Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documents
Jannis Vamvas, Rico Sennrich
Automatically highlighting words that cause semantic differences between two documents could be useful for a wide range of applications. We formulate recognizing semantic differenc…
SwissBERT: The Multilingual Language Model for Switzerland
Jannis Vamvas, Johannes Graën, Rico Sennrich
We present SwissBERT, a masked language model created specifically for processing Switzerland-related text. SwissBERT is a pre-trained model that we adapted to news articles writte…
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…