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» Evaluation Metrics for Knowledge-Based Machine Translation
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NAACL
2004
13 years 8 months ago
Discriminative Reranking for Machine Translation
This paper describes the application of discriminative reranking techniques to the problem of machine translation. For each sentence in the source language, we obtain from a basel...
Libin Shen, Anoop Sarkar, Franz Josef Och
AMTA
2004
Springer
13 years 11 months ago
The Significance of Recall in Automatic Metrics for MT Evaluation
Recent research has shown that a balanced harmonic mean (F1 measure) of unigram precision and recall outperforms the widely used BLEU and NIST metrics for Machine Translation evalu...
Alon Lavie, Kenji Sagae, Shyamsundar Jayaraman
ACL
2003
13 years 8 months ago
Minimum Error Rate Training in Statistical Machine Translation
Often, the training procedure for statistical machine translation models is based on maximum likelihood or related criteria. A general problem of this approach is that there is on...
Franz Josef Och
NAACL
2004
13 years 8 months ago
A Smorgasbord of Features for Statistical Machine Translation
We describe a methodology for rapid experimentation in statistical machine translation which we use to add a large number of features to a baseline system exploiting features from...
Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur,...
LREC
2010
148views Education» more  LREC 2010»
13 years 8 months ago
Mining the Correlation between Human and Automatic Evaluation at Sentence Level
Automatic evaluation metrics are fast and cost-effective measurements of the quality of a Machine Translation (MT) system. However, as humans are the end-user of MT output, human ...
Yanli Sun