首页> 外文会议>International conference on intelligent text processing and computational linguistics;CICLing 2012 >Will the Identification of Reduplicated Multiword Expression (RMWE) Improve the Performance of SVM Based Manipuri POS Tagging?
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Will the Identification of Reduplicated Multiword Expression (RMWE) Improve the Performance of SVM Based Manipuri POS Tagging?

机译:重复多词表达(RMWE)的识别是否会提高基于SVM的Manipuri POS标记的性能?

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Reduplicated Multiword Expressions (RMWEs) are abundant in Manipuri, the highly agglutinative India language. The Part of Speech (POS) tagging of Manipuri using Support Vector Machine (SVM) has been developed and evaluated. The POS tagger has been updated with identified RMWEs as another feature. The performance of the SVM based POS tagger before and after adding RMWE as a feature have been compared. The SVM based POS tagger has been evaluated with the F-Score of 77.67% which has increased to 79.61% with RMWE as an additional feature. Thus the performance the POS tagger has improved after adding RMWE as an additional feature.
机译:Manipuri是高度凝集的印度语言,其中有很多重复的多词表达式(RMWE)。已开发并评估了使用支持向量机(SVM)对Manipuri的语音部分(POS)进行标记的方法。 POS标记器已更新,其中已识别的RMWE是另一个功能。比较了添加RMWE作为功能之前和之后基于SVM的POS标记器的性能。已评估基于SVM的POS标记器的F-Score为77.67%,使用RMWE作为附加功能已提高至79.61%。因此,在添加RMWE作为附加功能后,POS标记器的性能得到了提高。

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