565 citations · 892 across the 17 of their papers we have counts for
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On Compositionality in Neural Machine Translation
Vikas Raunak, Vaibhav Kumar, Florian Metze
We investigate two specific manifestations of compositionality in Neural Machine Translation (NMT) : (1) Productivity - the ability of the model to extend its predictions beyond th…
On Leveraging the Visual Modality for Neural Machine Translation
Vikas Raunak, Sang Keun Choe, Quanyang Lu +2
Leveraging the visual modality effectively for Neural Machine Translation (NMT) remains an open problem in computational linguistics. Recently, Caglayan et al. posit that the obser…
On Dimensional Linguistic Properties of the Word Embedding Space
Vikas Raunak, Vaibhav Kumar, Vivek Gupta +1
Word embeddings have become a staple of several natural language processing tasks, yet much remains to be understood about their properties. In this work, we analyze word embedding…
Learned In Speech Recognition: Contextual Acoustic Word Embeddings
Shruti Palaskar, Vikas Raunak, Florian Metze
End-to-end acoustic-to-word speech recognition models have recently gained popularity because they are easy to train, scale well to large amounts of training data, and do not requi…