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Table of contents
I Development of Statistical Machine Translation Systems
1 Overview of Statistical Machine Translation
1.1 Statistical machine translation
1.2 Word alignment
1.3 Phrase-based probabilistic models
1.3.1 Target language model
1.3.2 Reordering models
1.4 Decoding and tuning
1.4.1 Scoring function
1.4.2 Automatic evaluation
1.4.3 Parameter tuning
1.5 Computer-Assisted Translation (CAT)
1.6 Summary
2 Improving SMT System Development
2.1 Scaling to larger corpora
2.2 Incremental system training
2.2.1 Incremental alignment
2.2.2 Model integration
2.3 Data weighting schemes
2.3.1 Context-dependent models
2.3.2 Data selection
2.3.3 Instance weighting
2.3.4 Multi-domain adaptation
2.3.5 Translation memory integration
2.4 Summary
II On-demand Development and Contextual Adaptation for SMT
3 On-demand Development Framework of SMT Systems
3.1 On-demand word alignment
3.1.1 Sampling-based transpotting
3.1.2 Sub-sentential alignment extraction
3.1.3 Difference with the giza++ alignment process
3.2 On-the-fly model estimation
3.3 On-demand system development
3.4 Experimental validation
3.4.1 Data
3.4.2 Validation of on-the-fly model estimation
3.4.3 Validation of on-demand word alignment
3.4.4 Validation of the framework
3.5 Summary
4 Incremental Adaptation with On-demand SMT
4.1 Translation for communities with on-demand SMT
4.1.1 No cache, no tuning (Config0)
4.1.2 Using a cache (Config1)
4.1.3 Sampling by reusing aligned sentences (Config2)
4.1.4 Plug-and-play data integration (+spec)
4.1.5 Simple online tuning (+online)
4.2 Any-text translation with on-demand SMT
4.3 Summary
5 Contextual Adaptation for On-demand SMT
5.1 Contextual sampling strategies
5.1.1 N-gram precision
5.1.2 TF-IDF
5.1.3 On-demand system construction with contextual sampling
5.2 Confidence estimation of adapted models
5.3 Experimental validation
5.3.1 Results
5.4 Contextual adaptation of on-demand SMT systems
5.5 Summary
Conclusion
Appendices
Appendix A Abbreviation
Appendix B Extracts of Data
B.1 Newstest
B.2 WMT’14-med
B.3 Cochrane
Appendix C Documents in Any-text Translation
Appendix D Translation for communities: translation examples
Appendix E Publications By the Author
