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Extramammary Paget's disease is a rare neoplasm that may affect the vulva. It usually presents as a pruritic red eczematous lesion with islands of hyperkeratosis that is often mistaken for other benign conditions. There are no specific guidelines for the management of this disease. Surgical excision is the standard treatment but recurrences are common in spite of extensive surgery with negative margins. We report here a series of 7 cases of Paget's disease vulva treated by primary surgery. The series highlights some of the challenges in the diagnosis and management of Paget's disease vulva.

Speech based language identification system has a wide range of applications in the field of telephone services, multilingual translation services, government intelligence and monitoring etc. Identifying the exact speech feature for classification is an important problem in the language identification research area. In this work, we are comparing the performance measures of a language identification system using two different supervised learning algorithms. Mel frequency cepstral coefficients and formant feature vectors are extracted for classification purpose. The system which is developed using the database of seven different Indian languages is capable of identifying languages with LDA giving a maximum classification accuracy of 93.88% when compared to SVM with a classification accuracy of 84%.