Otedama: Fast Rule-Based Pre-Ordering for Machine Translation
We present Otedama, a fast, open-source tool for rule-based syntactic pre-ordering, a well established technique in statistical machine translation. Otedama implements both a learner for pre-ordering rules, as well as a component for applying these rules to parsed sentences. Our system is compatible...
Main Authors: | Hitschler Julian, Jehl Laura, Karimova Sariya, Ohta Mayumi, Körner Benjamin, Riezler Stefan |
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Format: | Article |
Language: | English |
Published: |
Sciendo
2016-10-01
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Series: | Prague Bulletin of Mathematical Linguistics |
Online Access: | https://doi.org/10.1515/pralin-2016-0015 |
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