Summary of the paper
| Title | Integrating a Rule-based with a Hierarchical Translation System |
|---|---|
| Authors | Yu Chen and Andreas Eisele |
| Abstract | Recent developments on hybrid systems that combine rule-based machine translation (RBMT) systems with statistical machine translation (SMT) generally neglect the fact that RBMT systems tend to produce more syntactically well-formed translations than data-driven systems. This paper proposes a method that alleviates this issue by preserving more useful structures produced by RBMT systems and utilizing them in a SMT system that operates on hierarchical structures instead of flat phrases alone. For our experiments, we use Joshua as the decoder. It is the first attempt towards a tighter integration of MT systems from different paradigms that both support hierarchical analysis. Preliminary results show consistent improvements over the previous approach. |
| Topics | Machine Translation, SpeechToSpeech Translation, Multilinguality, Tools, systems, applications |
Full paper |
Integrating a Rule-based with a Hierarchical Translation System |
Slides |
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| Bibtex | @InProceedings{CHEN10.754, author = {Yu Chen and Andreas Eisele}, title = {Integrating a Rule-based with a Hierarchical Translation System}, booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |