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Matt Post

Microsoft Translator

35 papers hereh-index 4112.3k citations116 works total

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

author position
  • sole author1
  • first author3
  • middle author17
  • last author14

Across the 35 of 35 papers where every author was matched, so the position is known.

fields
  • cs.CL32
  • cs.HC1
  • cs.LG1
  • cs.SE1
affiliations
  • Microsoft Translator
  • Johns Hopkins University
  • University of Rochester
  • Calvin College
HomepageORCID 0000-0002-1297-6794
same name
  • Matt Post — 2 papers, h 1
  • Matt Post — 1 paper, h 3

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
20162025
most citedEscaping the sentence-level paradigm in machine translation

13 citations · 59 across the 22 of their papers we have counts for

collaborators
Showing 2022 · cs.CLShow all

3 papers · 2 filters

cs.CL2022★ 1 cited

Additive Interventions Yield Robust Multi-Domain Machine Translation Models

Elijah Rippeth, Matt Post

Additive interventions are a recently-proposed mechanism for controlling target-side attributes in neural machine translation. In contrast to tag-based approaches which manipulate…

cs.CL2022★ 7 cited

SALTED: A Framework for SAlient Long-Tail Translation Error Detection

Vikas Raunak, Matt Post, Arul Menezes

Traditional machine translation (MT) metrics provide an average measure of translation quality that is insensitive to the long tail of behavioral problems in MT. Examples include t…

cs.CL2022

Large-Scale Streaming End-to-End Speech Translation with Neural Transducers

Jian Xue, Peidong Wang, Jinyu Li +2

Neural transducers have been widely used in automatic speech recognition (ASR). In this paper, we introduce it to streaming end-to-end speech translation (ST), which aims to conver…

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