Kernel Regression Framework for Machine Translation: UCL System Description for WMT 2008 Shared Translation Task.
Zhuoran Wang and John Shawe-Taylor
In: The ACL Third Workshop on Statistical Machine Translation, 19 June 2008, Ohio, USA.
The novel kernel regression model for SMT only demonstrated
encouraging results on small-scale toy data sets in previous works due to the complexities of kernel methods. It is the first time results based on the real-world data from the shared translation task will be reported at ACL 2008 Workshop on Statistical Machine Translation. This paper presents the key modules of our system, including the kernel ridge regression model, retrieval-based sparse approximation, the decoding algorithm, as well as language modeling issues under this framework.