Wes Feely

Natural Language Processing · 2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wes Feely trusts

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

  1. Andreas Stolcke (in Natural Language Processing)
  2. Kenneth Heafield (in Natural Language Processing)

Papers from Wes Feely's perspective

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

  1. Bleu: a Method for Automatic Evaluation of Machine Translation
  2. SRILM - an extensible language modeling toolkit
  3. Improved backing-off for M-gram language modeling
  4. A Simple, Fast, and Effective Reparameterization of IBM Model 2
  5. Learning Accurate, Compact, and Interpretable Tree Annotation
  6. Hierarchical Phrase-Based Translation (International Conference on Computational Logic)
  7. KenLM: Faster and Smaller Language Model Queries
  8. A Systematic Comparison of Various Statistical Alignment Models
  9. Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems
  10. cdec: A Decoder, Alignment, and Learning Framework for Finite- State and Context-Free Translation Models

Their papers