11 citations · 11 across the 5 of their papers we have counts for
4 papers · 1 filter
Subword Sampling for Low Resource Word Alignment
Ehsaneddin Asgari, Masoud Jalili Sabet, Philipp Dufter +2
Annotation projection is an important area in NLP that can greatly contribute to creating language resources for low-resource languages. Word alignment plays a key role in this set…
Identifying Necessary Elements for BERT's Multilinguality
Philipp Dufter, Hinrich Schütze
It has been shown that multilingual BERT (mBERT) yields high quality multilingual representations and enables effective zero-shot transfer. This is surprising given that mBERT does…
Quantifying the Contextualization of Word Representations with Semantic Class Probing
Mengjie Zhao, Philipp Dufter, Yadollah Yaghoobzadeh +1
Pretrained language models have achieved a new state of the art on many NLP tasks, but there are still many open questions about how and why they work so well. We investigate the c…
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings
Masoud Jalili Sabet, Philipp Dufter, François Yvon +1
Word alignments are useful for tasks like statistical and neural machine translation (NMT) and cross-lingual annotation projection. Statistical word aligners perform well, as do me…