343 citations · 533 across the 25 of their papers we have counts for
32 papers
Universal Automatic Phonetic Transcription into the International Phonetic Alphabet
Chihiro Taguchi, Yusuke Sakai, Parisa Haghani +1
This paper presents a state-of-the-art model for transcribing speech in any language into the International Phonetic Alphabet (IPA). Transcription of spoken languages into IPA is a…
Bridging Graph Position Encodings for Transformers with Weighted Graph-Walking Automata
Patrick Soga, David Chiang
A current goal in the graph neural network literature is to enable transformers to operate on graph-structured data, given their success on language and vision tasks. Since the tra…
Algorithms for Weighted Pushdown Automata
Alexandra Butoi, Brian DuSell, Tim Vieira +2
Weighted pushdown automata (WPDAs) are at the core of many natural language processing tasks, like syntax-based statistical machine translation and transition-based dependency pars…
Learning Hierarchical Structures with Differentiable Nondeterministic Stacks
Brian DuSell, David Chiang
Learning hierarchical structures in sequential data -- from simple algorithmic patterns to natural language -- in a reliable, generalizable way remains a challenging problem for ne…
Data Augmentation by Concatenation for Low-Resource Translation: A Mystery and a Solution
Toan Q. Nguyen, Kenton Murray, David Chiang
In this paper, we investigate the driving factors behind concatenation, a simple but effective data augmentation method for low-resource neural machine translation. Our experiments…
Named Tensor Notation
David Chiang, Alexander M. Rush, Boaz Barak
We propose a notation for tensors with named axes, which relieves the author, reader, and future implementers of machine learning models from the burden of keeping track of the ord…