A web based Manipuri corpus is developed for identification of reduplicated multiword expression (MWE) and multiword named entity recognition (NER). Manipuri is one of the rarely investigated language and its resources for natural language processing are not available in the required measure. The web content of Manipuri is also very poor. News corpus from a popular Manipuri news website is collected. Approximately four and a half million Manipuri wordforms have been collected from the web. The mode of corpus collection and the identification of reduplicated MWEs and multiword NE based on support vector machine (SVM) learning technique are reported. The SVM based reduplicated MWE system is evaluated with recall, precision and FScore values of 94.62%, 93.53% and 94.07% respectively outperforming the rule based approach. The recall, precision and F-Score for multiword NE are evaluated as 94.82%, 93.12% and 93.96% respectively.
Manipuri is a resource constrained language and a bilingual resource is very limited REF .
Web Based Manipuri Corpus for Multiword NER and Reduplicated MWEs Identification using SVM
Proceedings of the 1st Workshop on South and Southeast Asian Natural Language Processing
Computer Science