Japanese Dependency Structure Analysis Based on Maximum Entropy Models

@inproceedings{Uchimoto1999JapaneseDS,
  title={Japanese Dependency Structure Analysis Based on Maximum Entropy Models},
  author={Kiyotaka Uchimoto and Satoshi Sekine and Hitoshi Isahara},
  booktitle={EACL},
  year={1999}
}
This paper describes a dependency structure analysis of Japanese sentences based on the maximum entropy models. Our model is created by learning the weights of some features from a training corpus to predict the dependency between bunsetsus or phrasal units. The dependency accuracy of our system is 87.2% using the Kyoto University corpus. We discuss the contribution of each feature set and the relationship between the number of training data and the accuracy. 1 I n t r o d u c t i o n… CONTINUE READING
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