4 papers · 1 filter
Fine-tuning the SwissBERT Encoder Model for Embedding Sentences and Documents
Juri Grosjean, Jannis Vamvas
Encoder models trained for the embedding of sentences or short documents have proven useful for tasks such as semantic search and topic modeling. In this paper, we present a versio…
Linear-time Minimum Bayes Risk Decoding with Reference Aggregation
Jannis Vamvas, Rico Sennrich
Minimum Bayes Risk (MBR) decoding is a text generation technique that has been shown to improve the quality of machine translations, but is expensive, even if a sampling-based appr…
Modular Adaptation of Multilingual Encoders to Written Swiss German Dialect
Jannis Vamvas, Noëmi Aepli, Rico Sennrich
Creating neural text encoders for written Swiss German is challenging due to a dearth of training data combined with dialectal variation. In this paper, we build on several existin…
Machine Translation Models are Zero-Shot Detectors of Translation Direction
Michelle Wastl, Jannis Vamvas, Rico Sennrich
Detecting the translation direction of parallel text has applications for machine translation training and evaluation, but also has forensic applications such as resolving plagiari…