A Trainable Transfer-based Machine Translation Approach for Languages with Limited Resources

@inproceedings{Lavie2004ATT,
  title={A Trainable Transfer-based Machine Translation Approach for Languages with Limited Resources},
  author={Alon Lavie and Katharina Probst and Erik Peterson and Stephan Vogel and Lori S. Levin and Ariadna Font-Llitj{\'o}s and Jaime G. Carbonell},
  year={2004}
}
We describe a Machine Translation (MT) approach that is specifically designed to enable rapid development of MT for languages with limited amounts of online resources. Our approach assumes the availability of a small number of bi-lingual speakers of the two languages, but these need not be linguistic experts. The bi-lingual speakers create a comparatively small corpus of word aligned phrases and sentences (on the order of magnitude of a few thousand sentence pairs) using a specially designed… CONTINUE READING

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