Integrating Knowledge Bases and Statistics in MT
<|reference_start|>Integrating Knowledge Bases and Statistics in MT: 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.<|reference_end|>
@article{knight1994integrating,
    title={Integrating Knowledge Bases and Statistics in MT},
    author={Kevin Knight (USC/ISI), Ishwar Chander (USC/ISI), Matthew Haines
  (USC/ISI), Vasileios Hatzivassiloglou (Columbia Univ.), Eduard Hovy
  (USC/ISI), Masayo Iida (USC/ISI), Steve K. Luk (USC/ISI), Akitoshi Okumura
  (NEC), Richard Whitney (USC/ISI), Kenji Yamada (USC/ISI)},
    journal={Proc Association for Machine Translation in the Americas (AMTA-94)},
    year={1994},
    archivePrefix={arXiv},
    eprint={cmp-lg/9409001},
    primaryClass={cmp-lg cs.CL}
}