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| Title | A Note on Morphological Analysis Methods based on Statistical Decision Theory (in Japanese) |
|---|---|
| Authors | Yasunari Maeda 、Naoya Ikeda 、Hideki Yoshida 、Yoshitaka Fujiwara 、Toshiyasu Matsushima |
| Released Year | 2007 |
| Format | International Conference |
| Category | Knowledge information processing |
| Jounal Name | SICE 2007 PROCEEDINGS |
| Jounal Page | pp.1563-1568, Takamatsu, Japan |
| Published Year | 2007 |
| Published Month | 9 |
| Abstract （English） |
Morphological analysis is one of important topics in the field of NLP(Natural Language Processing). In many previous research a HMM(Hidden Markov Model) with unknown parameters has been used as a language model. In this research we also use the HMM as the language model. And we assume that sate transitions in the HMM are dominated by a second order Markov chain. At first we propose two types of morphological analysis methods which minimize the error rate with reference to a Bayes criterion. But the computational complexity of the proposed Bayes optimal morphological analysis methods are exponential order. So we also propose approximate methods. |
| Note （English） |
1 |
| Manuscript | |
| Presentation |
Involved Papers
- Bayesian Forecasting of WWW Traffic on the Time Varying Poisson Model
- A Bayes Prediction Algorithm for Regression models with Outliers (in Japanese)
- Asymptotic Property on Nonstationary Sources with Piecewise Constant Parameters (in Japanese)
- Asymptotic Property of Universal Lossless Coding for Independent Piecewise Identically Distributed Sources
- A Bayes Prediction Algorithm for Regression models with Outliers (in Japanese)
- A Note on Spelling Correction Methods based upon Statistical Decision Theory
- A note on estimation of states in HMM with unknown parameters (in Japanese)
- A Note on Morphological Analysis with Misspellings (in Japanese)
- A Note on Selective - Repeat ARQ with Unknown Block - Error Rate (in Japanese)
- A Note on Multi-topic Document Classification Method Based upon Statistical Decision Theory (in Japanese)
