Roland Kuhn

Natural Language Processing · 1988–2018

A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Roland Kuhn trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ian T. Jolliffe
  2. Philip C. Woodland
  3. Jean-Luc Gauvain
  4. Chris Leggetter
  5. Laurence S. Gillick
  6. Mark John Francis Gales
  7. Tasos Anastasakos
  8. Frederick Jelinek
  9. Stephen J. Cox

Who trusts Roland Kuhn overall

  1. Edouard Grave
  2. R. Rosenfeld
  3. Rukmini Iyer
  4. Armand Joulin
  5. Andreas Stolcke
  6. Joshua Goodman
  7. Mari Ostendorf
  8. Zhaopeng Tu
  9. Bo Li
  10. Moustapha Cissé

Papers from Roland Kuhn's perspective

Ordered by how strongly the researchers Roland Kuhn trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains
  2. Decoding with Large-Scale Neural Language Models Improves Translation
  3. A compact model for speaker-adaptive training
  4. Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models
  5. Mean and variance adaptation within the MLLR framework
  6. Fast and Robust Neural Network Joint Models for Statistical Machine Translation
  7. The ACL Anthology Network Corpus as a Resource for NLP-based Bibliometrics
  8. Forest Rescoring: Faster Decoding with Integrated Language Models
  9. A Smorgasbord of Features for Statistical Machine Translation
  10. Tuning as Ranking (Conference on Empirical Methods in Natural Language Processing)

Their papers