Statistical phrase-based translation
We propose a new phrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previously proposed phrase-based translation models.
Publications
3 shownAutomatic evaluation of machine translation quality using longest common subsequence and skip-bigram statistics
In this paper we describe two new objective automatic evaluation methods for machine translation. The first method is based on longest common subsequence between a candidate tra...
Frequent Co-Authors
Researcher Info
- h-index
- 3
- Publications
- 3
- Citations
- 4,931
- Institution
- Southern California University for Professional Studies
External Links
Impact Metrics
h-index
3
h-index: Number of publications with at least h citations each.