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作者单位:Abeba Ibrahim (16) Yaregal Assabie (16)
16. Department of Computer Science, Addis Ababa University, Addis Ababa, Ethiopia
丛书名:Human Language Technology. Challenges for Computer Science and Linguistics
ISBN:978-3-319-43808-5
刊物类别:Computer Science
刊物主题:Artificial Intelligence and Robotics Computer Communication Networks Software Engineering Data Encryption Database Management Computation by Abstract Devices Algorithm Analysis and Problem Complexity
出版者:Springer Berlin / Heidelberg
ISSN:1611-3349
卷排序:9561
文摘
Segmentation of a text into non-overlapping syntactic units (chunks) has become an essential component of many applications of natural language processing. This paper presents Amharic base phrase chunker that groups syntactically correlated words at different levels using HMM. Rules are used to correct chunk phrases incorrectly chunked by the HMM. For the identification of the boundary of the phrases IOB2 chunk specification is selected and used in this work. To test the performance of the system, corpus was collected from Amharic news outlets and books. The training and testing datasets were prepared using the 10-fold cross validation technique. Test results on the corpus showed an average accuracy of 85.31 % before applying the rule for error correction and an average accuracy of 93.75 % after applying rules.