Integrating Knowledge Bases and Statistics in MT
cmp-lg
2008-02-03 v1 Computation and Language
Abstract
We summarize recent machine translation (MT) research at the Information Sciences Institute of USC, and we describe its application to the development of a Japanese-English newspaper MT system. Our work aims at scaling up grammar-based, knowledge-based MT techniques. This scale-up involves the use of statistical methods, both in acquiring effective knowledge resources and in making reasonable linguistic choices in the face of knowledge gaps.
Cite
@article{arxiv.cmp-lg/9409001,
title = {Integrating Knowledge Bases and Statistics in MT},
author = {Kevin Knight and Ishwar Chander and Matthew Haines and Vasileios Hatzivassiloglou and Eduard Hovy and Masayo Iida and Steve K. Luk and Akitoshi Okumura and Richard Whitney and Kenji Yamada},
journal= {arXiv preprint arXiv:cmp-lg/9409001},
year = {2008}
}
Comments
8 pages, compressed, uuencoded postscript