ISCA Archive Eurospeech 1997
ISCA Archive Eurospeech 1997

Feature-based language understanding

Kishore A. Papineni, Salim Roukos, Todd R. Ward

We consider translating natural language sentences into a formal language using a system that is data-driven and built automatically from training data. We use features that capture correlations between automatically determined key phrases in both languages. The features and their associated weights are selected using a training corpus of matched pairs of source and target language sentences to maximize the entropy of the resulting conditional probability model. Given a source-language sentence, we select as the translation a target-language candidate to which the model assigns maximum probability. We report results in Air Travel Information System (ATIS) domain.


doi: 10.21437/Eurospeech.1997-417

Cite as: Papineni, K.A., Roukos, S., Ward, T.R. (1997) Feature-based language understanding. Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997), 1435-1438, doi: 10.21437/Eurospeech.1997-417

@inproceedings{papineni97_eurospeech,
  author={Kishore A. Papineni and Salim Roukos and Todd R. Ward},
  title={{Feature-based language understanding}},
  year=1997,
  booktitle={Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997)},
  pages={1435--1438},
  doi={10.21437/Eurospeech.1997-417},
  issn={1018-4074}
}