Scoring and Optimization
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Lecture 13: Scoring and Optimization
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Contents
1
Features of MT Models
1.1
Phrase Translation Probabilities
1.2
Lexical Weights
1.3
Language Model
1.4
Word and Phrase Penalty
1.5
Distortion Penalty
2
Decoding
2.1
Phrase-Based Search
2.2
Decoding in SCFG
3
Optimization of Feature Weights
Features of MT Models
Phrase Translation Probabilities
Lexical Weights
Language Model
Word and Phrase Penalty
Distortion Penalty
Decoding
Phrase-Based Search
Decoding in SCFG
Optimization of Feature Weights
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