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Xing Niu

Amazon AI

22 papers hereh-index 191.4k citations43 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author16

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CL20
  • cs.CV1
  • cs.SD1
affiliations
  • Amazon AI
HomepageORCID 0000-0003-1823-1512
same name
  • Xing Niu — 6 papers, h 9
  • Xing Niu — 4 papers, h 2
  • Xing Niu — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182025
most citedThe Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020

67 citations · 95 across the 17 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CL2018

Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation

Xing Niu, Weijia Xu, Marine Carpuat

We aim to better exploit the limited amounts of parallel text available in low-resource settings by introducing a differentiable reconstruction loss for neural machine translation…

cs.CL2018

Multi-Task Neural Models for Translating Between Styles Within and Across Languages

Xing Niu, Sudha Rao, Marine Carpuat

Generating natural language requires conveying content in an appropriate style. We explore two related tasks on generating text of varying formality: monolingual formality transfer…

cs.CL2018

Bi-Directional Neural Machine Translation with Synthetic Parallel Data

Xing Niu, Michael Denkowski, Marine Carpuat

Despite impressive progress in high-resource settings, Neural Machine Translation (NMT) still struggles in low-resource and out-of-domain scenarios, often failing to match the qual…

cs.CL2018

Identifying Semantic Divergences in Parallel Text without Annotations

Yogarshi Vyas, Xing Niu, Marine Carpuat

Recognizing that even correct translations are not always semantically equivalent, we automatically detect meaning divergences in parallel sentence pairs with a deep neural model o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.