Joshua Albrecht

Evaluation & Benchmarks · 2007

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

Subfields

• Evaluation & Benchmarks — 10 citations into it; #3,084 of 3,148 by trust here, #2,854 by citations
• Natural Language Processing — 10 citations into it; #5,617 of 5,704 by trust here, #4,893 by citations
• Artificial Intelligence — 7 citations into it

Whom Joshua Albrecht trusts overall

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

1. Chin-Yew Lin
2. Franz Joseph Och
3. John Blatz
4. Philipp Koehn
5. Matthew G. Snover
6. Erin Fitzgerald
7. Bernhard Schölkopf

Who trusts Joshua Albrecht overall

1. Jianfeng Gao
2. Chris Callison-Burch
3. Minlie Huang
4. Xiaojun Wan

Papers from Joshua Albrecht's perspective

Ordered by how strongly the researchers Joshua Albrecht 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. ORANGE: a Method for Evaluating Automatic Evaluation Metrics for Machine Translation
4. Automatic Evaluation of Machine Translation Quality Using Longest Common Subsequence and Skip-Bigram Statistics
5. Statistical Significance Tests for Machine Translation Evaluation
6. Accelerated DP based search for statistical translation
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. GloVe: Global Vectors for Word Representation
9. A Study of Translation Edit Rate with Targeted Human Annotation
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A Re-examination of Machine Learning Approaches for Sentence-Level MT Evaluation (2007) — 68 citations