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Deep open-source machine translation.
- Source :
- Machine Translation; Jun2011, Vol. 25 Issue 2, p87-105, 19p
- Publication Year :
- 2011
-
Abstract
- This paper summarizes ongoing efforts to provide software infrastructure (and methodology) for open-source machine translation that combines a deep semantic transfer approach with advanced stochastic models. The resulting infrastructure combines precise grammars for parsing and generation, a semantic-transfer based translation engine and stochastic controllers. We provide both a qualitative and quantitative experience report from instantiating our general architecture for Japanese-English MT using only open-source components, including HPSG-based grammars of English and Japanese. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09226567
- Volume :
- 25
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Machine Translation
- Publication Type :
- Academic Journal
- Accession number :
- 66579482
- Full Text :
- https://doi.org/10.1007/s10590-011-9099-4