@inproceedings{zollmann-etal-2008-cmu,
title = "The {CMU} syntax-augmented machine translation system: {SAMT} on Hadoop with n-best alignments.",
author = "Zollmann, Andreas and
Venugopal, Ashish and
Vogel, Stephan",
booktitle = "Proceedings of the 5th International Workshop on Spoken Language Translation: Evaluation Campaign",
month = oct # " 20-21",
year = "2008",
address = "Waikiki, Hawaii",
url = "https://aclanthology.org/2008.iwslt-evaluation.2",
pages = "18--25",
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.",
}
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)
ACL