Kay Peterson

Evaluation & Benchmarks · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Evaluation & Benchmarks — 14 citations into it; #1,911 of 3,147 by trust here, #1,706 by citations
• Artificial Intelligence — 13 citations into it
• Natural Language Processing — 12 citations into it; #3,613 of 5,688 by trust here, #2,767 by citations

Whom Kay Peterson trusts overall

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

1. Franz Joseph Och
2. Chris Callison-Burch
3. Philipp Koehn
4. Matthew G. Snover
5. Cameron S. Fordyce

Who trusts Kay Peterson overall

1. Ondrej Bojar
2. Yvette Graham
3. Tom Kocmi
4. Juraj Juraska
5. Chris Callison-Burch
6. Adam Lopez

Papers from Kay Peterson's perspective

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

1. Bleu: a Method for Automatic Evaluation of Machine Translation
2. Minimum Error Rate Training in Statistical Machine Translation
3. Automatic evaluation of machine translation quality using n-gram co-occurrence statistics
4. A Study of Translation Edit Rate with Targeted Human Annotation
5. METEOR: An Automatic Metric for MT Evaluation with High Levels of Correlation with Human Judgments
6. (Meta-) Evaluation of Machine Translation
7. Manual and Automatic Evaluation of Machine Translation between European Languages
8. The measurement of observer agreement for categorical data.
9. Moses: Open Source Toolkit for Statistical Machine Translation
10. A Coefficient of Agreement for Nominal Scales

Their papers

• Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation (2010) — 233 citations
• The NIST 2008 Metrics for machine translation challenge—overview, methodology, metrics, and results (2009) — 71 citations