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courses:rg:multilingual-noise-robust-supervised-morphological-analysis-using-the-wordframe-model [2011/01/07 17:55] kirschner |
courses:rg:multilingual-noise-robust-supervised-morphological-analysis-using-the-wordframe-model [2011/01/07 18:37] kirschner |
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===== Comments ===== | ===== Comments ===== | ||
- | * | + | * In this paper the author presents a new supervized method for lemmatization, |
+ | * This new method is compared to existing End-Of-String method and is proven better in most of the cases. | ||
+ | * A combination of both methods gives even better results. | ||
+ | * The results are evaulated on 30 different languages with median accuracy 97.5% | ||
+ | * The WordFrame model algorithm trains well on noisy data, therefore it can be used in co-training with unsupervised methods. | ||
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===== Suggested Additional Reading ===== | ===== Suggested Additional Reading ===== | ||
* [[http:// | * [[http:// |