Summary of the paper
| Title | Using Linear Interpolation and Weighted Reordering Hypotheses in the Moses System |
|---|---|
| Authors | Marta R. Costa-jussà and José A. R. Fonollosa |
| Abstract | This paper proposes to introduce a novel reordering model in the open-source Moses toolkit. The main idea is to provide weighted reordering hypotheses to the SMT decoder. These hypotheses are built using a first-step Ngram-based SMT translation from a source language into a third representation that is called reordered source language. Each hypothesis has its own weight provided by the Ngram-based decoder. This proposed reordering technique offers a better and more efficient translation when compared to both the distance-based and the lexicalized reordering. In addition to this reordering approach, this paper describes a domain adaptation technique which is based on a linear combination of an specific in-domain and an extra out-domain translation models. Results for both approaches are reported in the Arabic-to-English 2008 IWSLT task. When implementing the weighted reordering hypotheses and the domain adaptation technique in the final translation system, translation results reach improvements up to 2.5 BLEU compared to a standard state-of-the-art Moses baseline system. |
| Topics | Machine Translation, SpeechToSpeech Translation, Statistical and machine learning methods, Language modelling |
Full paper |
Using Linear Interpolation and Weighted Reordering Hypotheses in the Moses System |
Slides |
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| Bibtex | @InProceedings{RCOSTAJUSS10.23, author = {Marta R. Costa-jussà and José A. R. Fonollosa}, title = {Using Linear Interpolation and Weighted Reordering Hypotheses in the Moses 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} } |