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    <abstract>We present the CMU Syntax Augmented Machine Translation System that was used in the IWSLT-08 evaluation campaign. We participated in the Full-BTEC data track for Chinese-English translation, focusing on transcript translation. For this year‘s evaluation, we ported the Syntax Augmented MT toolkit [1] to the Hadoop MapReduce [2] parallel processing architecture, allowing us to efficiently run experiments evaluating a novel “wider pipelines” approach to integrate evidence from N -best alignments into our translation models. We describe each step of the MapReduce pipeline as it is implemented in the open-source SAMT toolkit, and show improvements in translation quality by using N-best alignments in both hierarchical and syntax augmented translation systems.</abstract>
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%0 Conference Proceedings
%T The CMU syntax-augmented machine translation system: SAMT on Hadoop with n-best alignments.
%A Zollmann, Andreas
%A Venugopal, Ashish
%A Vogel, Stephan
%S Proceedings of the 5th International Workshop on Spoken Language Translation: Evaluation Campaign
%D 2008
%8 oct 20 21
%C Waikiki, Hawaii
%F zollmann-etal-2008-cmu
%X We present the CMU Syntax Augmented Machine Translation System that was used in the IWSLT-08 evaluation campaign. We participated in the Full-BTEC data track for Chinese-English translation, focusing on transcript translation. For this year‘s evaluation, we ported the Syntax Augmented MT toolkit [1] to the Hadoop MapReduce [2] parallel processing architecture, allowing us to efficiently run experiments evaluating a novel “wider pipelines” approach to integrate evidence from N -best alignments into our translation models. We describe each step of the MapReduce pipeline as it is implemented in the open-source SAMT toolkit, and show improvements in translation quality by using N-best alignments in both hierarchical and syntax augmented translation systems.
%U https://aclanthology.org/2008.iwslt-evaluation.2/
%P 18-25

Markdown (Informal)

[The CMU syntax-augmented machine translation system: SAMT on Hadoop with n-best alignments.](https://aclanthology.org/2008.iwslt-evaluation.2/) (Zollmann et al., IWSLT 2008)

• The CMU syntax-augmented machine translation system: SAMT on Hadoop with n-best alignments. (Zollmann et al., IWSLT 2008)

ACL

• Andreas Zollmann, Ashish Venugopal, and Stephan Vogel. 2008. The CMU syntax-augmented machine translation system: SAMT on Hadoop with n-best alignments.. In Proceedings of the 5th International Workshop on Spoken Language Translation: Evaluation Campaign, pages 18–25, Waikiki, Hawaii.