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Philipp Koehn

Johns Hopkins University

38 papers hereh-index 6946.7k citations311 works total

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

author position
  • first author2
  • middle author12
  • last author24

Across the 38 of 38 papers where every author was matched, so the position is known.

fields
  • cs.CL37
  • cs.AI1
affiliations
  • Johns Hopkins University
HomepageORCID 0000-0003-1565-064X
same name
  • Philipp Koehn — 13 papers, h 6
  • Philipp Koehn — 9 papers, h 10
  • Philipp Koehn — 7 papers, h 6
  • Philipp Koehn — 5 papers, h 5
  • Philipp Koehn — 3 papers, h 4
  • Philipp Koehn — 2 papers, h 4

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
20032026
most citedNo Language Left Behind: Scaling Human-Centered Machine Translation

373 citations · 705 across the 32 of their papers we have counts for

collaborators
Showing 2018 · cs.CLShow all

3 papers · 2 filters

cs.CL2018★ 74 cited

Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation

Brian Thompson, Huda Khayrallah, Antonios Anastasopoulos +7

To better understand the effectiveness of continued training, we analyze the major components of a neural machine translation system (the encoder, decoder, and each embedding space…

cs.CL2018★ 3 cited

Character-Aware Decoder for Translation into Morphologically Rich Languages

Adithya Renduchintala, Pamela Shapiro, Kevin Duh +1

Neural machine translation (NMT) systems operate primarily on words (or sub-words), ignoring lower-level patterns of morphology. We present a character-aware decoder designed to ca…

cs.CL2018★ 41 cited

On the Impact of Various Types of Noise on Neural Machine Translation

Huda Khayrallah, Philipp Koehn

We examine how various types of noise in the parallel training data impact the quality of neural machine translation systems. We create five types of artificial noise and analyze h…

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