activity
20162021
most citedDLVM: A modern compiler infrastructure for deep learning systems

33 citations · 61 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2021

A Digital Corpus of St. Lawrence Island Yupik

Lane Schwartz, Emily Chen, Hyunji Hayley Park +2

St. Lawrence Island Yupik (ISO 639-3: ess) is an endangered polysynthetic language in the Inuit-Yupik language family indigenous to Alaska and Chukotka. This work presents a step-b…

cs.CL2020★ 13 cited

Morphology Matters: A Multilingual Language Modeling Analysis

Hyunji Hayley Park, Katherine J. Zhang, Coleman Haley +3

Prior studies in multilingual language modeling (e.g., Cotterell et al., 2018; Mielke et al., 2019) disagree on whether or not inflectional morphology makes languages harder to mod…

cs.CL2020★ 13 cited

Neural Polysynthetic Language Modelling

Lane Schwartz, Francis Tyers, Lori Levin +18

Research in natural language processing commonly assumes that approaches that work well for English and and other widely-used languages are "language agnostic". In high-resource la…

cs.CL2018

Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction

Lifeng Jin, Finale Doshi-Velez, Timothy Miller +2

There have been several recent attempts to improve the accuracy of grammar induction systems by bounding the recursive complexity of the induction model (Ponvert et al., 2011; Noji…

cs.CL2018

Unsupervised Grammar Induction with Depth-bounded PCFG

Lifeng Jin, Finale Doshi-Velez, Timothy Miller +2

There has been recent interest in applying cognitively or empirically motivated bounds on recursion depth to limit the search space of grammar induction models (Ponvert et al., 201…

cs.PL2017★ 33 cited

DLVM: A modern compiler infrastructure for deep learning systems

Richard Wei, Lane Schwartz, Vikram Adve

Deep learning software demands reliability and performance. However, many of the existing deep learning frameworks are software libraries that act as an unsafe DSL in Python and a…

cs.CL2016★ 2 cited

Fast, Scalable Phrase-Based SMT Decoding

Hieu Hoang, Nikolay Bogoychev, Lane Schwartz +1

The utilization of statistical machine translation (SMT) has grown enormously over the last decade, many using open-source software developed by the NLP community. As commercial us…