Morphological Disambiguation of Hebrew: A Case Study in Classifier Combination

Morphological analysis and disambiguation are crucial stages in a variety of natural language processing applications, especially when languages with complex morphology are concerned. We present a system which disambiguates the output of a morphological analyzer for Hebrew. It consists of several simple classifiers and a module which combines them under linguistically motivated constraints. We investigate a number of techniques for combining the predictions of the classifiers. Our best result, 91.44% accuracy, reflects a 25% reduction in error rate compared with the previous state of the art.