The Significance of Recall in Automatic Metrics for MT Evaluation
Article Status
Published
Authors/contributors
- Lavie, Alon (Author)
- Sagae, Kenji (Author)
- Jayaraman, Shyamsundar (Author)
- Frederking, Robert E. (Editor)
- Taylor, Kathryn B. (Editor)
- Hutchison, David (Series Editor)
- Kanade, Takeo (Series Editor)
- Kittler, Josef (Series Editor)
- Kleinberg, Jon M. (Series Editor)
- Mattern, Friedemann (Series Editor)
- Mitchell, John C. (Series Editor)
- Naor, Moni (Series Editor)
- Nierstrasz, Oscar (Series Editor)
- Pandu Rangan, C. (Series Editor)
- Steffen, Bernhard (Series Editor)
- Sudan, Madhu (Series Editor)
- Terzopoulos, Demetri (Series Editor)
- Tygar, Dough (Series Editor)
- Vardi, Moshe Y. (Series Editor)
- Weikum, Gerhard (Series Editor)
Title
The Significance of Recall in Automatic Metrics for MT Evaluation
Book Title
Machine Translation: From Real Users to Research
Volume
3265
Place
Berlin, Heidelberg
Publisher
Springer Berlin Heidelberg
Date
2004
Pages
134-143
ISBN
978-3-540-23300-8
Accessed
27/10/2023, 16:35
Library Catalogue
DOI.org (Crossref)
Extra
Series Editors: _:n9635
Series Title: Lecture Notes in Computer Science
DOI: 10.1007/978-3-540-30194-3_16
Citation Key: lavie2004
<标题>: 召回率在机器翻译评估自动指标中的重要性
<AI Smry>: This work shows that correlation with human judgments is highest when almost all of the weight is assigned to recall, and shows that stemming is significantly beneficial not just to simpler unigram precision and recall based metrics, but also to BLEU and NIST.
Citation
Lavie, A., Sagae, K., & Jayaraman, S. (2004). The Significance of Recall in Automatic Metrics for MT Evaluation. In R. E. Frederking & K. B. Taylor (Eds.), Machine Translation: From Real Users to Research (Vol. 3265, pp. 134–143). Springer Berlin Heidelberg. http://link.springer.com/10.1007/978-3-540-30194-3_16
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