76 citations · 91 across the 11 of their papers we have counts for
18 papers
: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter
Wen Lai, Alexandra Chronopoulou, Alexander Fraser
Multilingual neural machine translation models (MNMT) yield state-of-the-art performance when evaluated on data from a domain and language pair seen at training time. However, when…
Don't Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings
Silvia Severini, Viktor Hangya, Masoud Jalili Sabet +2
Bilingual Word Embeddings (BWEs) are one of the cornerstones of cross-lingual transfer of NLP models. They can be built using only monolingual corpora without supervision leading t…
Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases
Marius Gassen, Benjamin Hättasch, Benjamin Hilprecht +3
Databases for OLTP are often the backbone for applications such as hotel room or cinema ticket booking applications. However, developing a conversational agent (i.e., a chatbot-lik…
Modeling Target-Side Morphology in Neural Machine Translation: A Comparison of Strategies
Marion Weller-Di Marco, Matthias Huck, Alexander Fraser
Morphologically rich languages pose difficulties to machine translation. Machine translation engines that rely on statistical learning from parallel training data, such as state-of…
Do Multilingual Language Models Capture Differing Moral Norms?
Katharina Hämmerl, Björn Deiseroth, Patrick Schramowski +3
Massively multilingual sentence representations are trained on large corpora of uncurated data, with a very imbalanced proportion of languages included in the training. This may ca…
Combining Static and Contextualised Multilingual Embeddings
Katharina Hämmerl, Jindřich Libovický, Alexander Fraser
Static and contextual multilingual embeddings have complementary strengths. Static embeddings, while less expressive than contextual language models, can be more straightforwardly…