216 citations · 219 across the 2 of their papers we have counts for
9 papers
On the Difficulty of Translating Free-Order Case-Marking Languages
Arianna Bisazza, Ahmet Üstün, Stephan Sportel
Identifying factors that make certain languages harder to model than others is essential to reach language equality in future Natural Language Processing technologies. Free-order c…
The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning
Yuchen Lian, Arianna Bisazza, Tessa Verhoef
Natural languages display a trade-off among different strategies to convey syntactic structure, such as word order or inflection. This trade-off, however, has not appeared in recen…
UDapter: Language Adaptation for Truly Universal Dependency Parsing
Ahmet Üstün, Arianna Bisazza, Gosse Bouma +1
Recent advances in multilingual dependency parsing have brought the idea of a truly universal parser closer to reality. However, cross-language interference and restrained model ca…
Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural Networks
Prajit Dhar, Arianna Bisazza
It is now established that modern neural language models can be successfully trained on multiple languages simultaneously without changes to the underlying architecture. But what k…
BERTje: A Dutch BERT Model
Wietse de Vries, Andreas van Cranenburgh, Arianna Bisazza +3
The transformer-based pre-trained language model BERT has helped to improve state-of-the-art performance on many natural language processing (NLP) tasks. Using the same architectur…
Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations
Ke Tran, Arianna Bisazza
We investigate whether off-the-shelf deep bidirectional sentence representations trained on a massively multilingual corpus (multilingual BERT) enable the development of an unsuper…