Development of Stemming Algorith for Wolaytta Text


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  • Product Description

This study describes the design of a stemming algorithm for Wolaytta language. To give a solid background for the thesis, literatures on conflation in general and stemming algorithms in particular were reviewed. The result of the study is a prototype context sensitive iterative stemmer for Wolaytta language. Error counting technique was employed to evaluate the performance of this stemmer. The stemmer was trained on 3537 words (80% of the sample text) and the improved version reveals an accuracy of 90.6% on the training set. The number of over stemmed and understemmed words on the training set were 8.6% (304 words) and 0.8% (28 words) respectively. When the stemmer runs on the unseen sample of 884 words (20% of the sample text), it performed with an accuracy of 86.9%. The percentage of errors recorded as understemmed and overstemmed on this unseen (test set) were 9% and 4.1%, respectively. Moreover, a dictionary reduction of 38.92% was attained on the test set. The major sources of errors are also reported with possible recommendations to further improve the performance of the stemmer and also for further research.

Product Specifications
SKU :COC72502
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
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