Isabel Slawik

Natural Language Processing · 2014

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Isabel Slawik trusts overall

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

  1. Franz Joseph Och
  2. Philipp Koehn

Papers from Isabel Slawik's perspective

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

  1. Long Short-Term Memory
  2. Bleu: a Method for Automatic Evaluation of Machine Translation
  3. An Empirical Study of Smoothing Techniques for Language Modeling
  4. Statistical Phrase-Based Translation
  5. SRILM - an extensible language modeling toolkit
  6. Minimum Error Rate Training in Statistical Machine Translation
  7. A Systematic Comparison of Various Statistical Alignment Models
  8. KenLM: Faster and Smaller Language Model Queries
  9. Scalable Modified Kneser-Ney Language Model Estimation
  10. Moses: Open Source Toolkit for Statistical Machine Translation

Their papers