Fedor Bykov

Natural Language Processing · 2016

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fedor Bykov trusts overall

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

  1. Philipp Koehn
  2. Jörg Tiedemann
  3. Kenneth Heafield
  4. Steven Bird
  5. Qin Gao
  6. Marcello Federico
  7. Michel Simard
  8. Kevin Knight
  9. Stephan Vogel
  10. Nicola Bertoldi

Papers from Fedor Bykov's perspective

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

  1. Bleu: a Method for Automatic Evaluation of Machine Translation
  2. KenLM: Faster and Smaller Language Model Queries
  3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  4. Parallel Data, Tools and Interfaces in OPUS
  5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Empirical Methods for Compound Splitting
  8. Long Short-Term Memory
  9. Moses: Open Source Toolkit for Statistical Machine Translation
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers