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Parallel Treebanks in Phrase-Based Statistical Machine Translation

Tinsley, John and Hearne, Mary and Way, Andy (2009) Parallel Treebanks in Phrase-Based Statistical Machine Translation. In: CICLING 2009: the 10th International Conference on Intelligent Text Processing and Computational Linguistics., Mexico City, Mexico.

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Given much recent discussion and the shift in focus of the field, it is becoming apparent that the incorporation of syntax is the way forward for the current state-of-the-art in machine translation (MT). Parallel treebanks are a relatively recent innovation and appear to be ideal candidates for MT training material. However, until recently there has been no other means to build them than by hand. In this paper, we describe how we make use of new tools to automatically build a large parallel treebank and extract a set of linguistically motivated phrase pairs from it. We show that adding these phrase pairs to the translation model of a baseline phrase-based statistical MT (PBSMT) system leads to significant improvements in translation quality. We describe further experiments on incorporating parallel treebank information into PBSMT, such as word alignments. We investigate the conditions under which the incorporation of parallel treebank data performs optimally. Finally, we discuss the potential of parallel treebanks in other paradigms of MT.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:Research Initiatives and Centres > National Centre for Language Technology (NCLT)
ID Code:15815
Deposited On:24 Mar 2011 09:38 by Shane Harper. Last Modified 02 Mar 2017 14:01

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