José Aires

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom José Aires trusts overall

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

  1. Jörg Tiedemann
  2. Franz Joseph Och
  3. Ralf Steinberger
  4. Philipp Koehn
  5. Hermann Ney
  6. Salim Roukos
  7. Bruno Pouliquen

Papers from José Aires's perspective

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

  1. Bleu: a Method for Automatic Evaluation of Machine Translation
  2. A Systematic Comparison of Various Statistical Alignment Models
  3. News from OPUS — A collection of multilingual parallel corpora with tools and interfaces
  4. The JRC-Acquis: A Multilingual Aligned Parallel Corpus with 20+ Languages (International Conference on Language Resources and Evaluation)
  5. Moses: Open Source Toolkit for Statistical Machine Translation
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Efficient Estimation of Word Representations in Vector Space
  10. Long Short-Term Memory

Their papers