期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：11
出版社：S.S. Mishra
摘要：Identification of Multi-Word Expressions (MWEs) in a sentence is essential to understand the sentence beyond semantics i.e., at pragmatic level. So far, not much work was done to extract MWEs. This problem was attempted for Indian Languages by researchers in the form of extraction of chu nks of local word groups (LWG ). The tools to identify the MWE are language dependent. A tool ca lled Sequence Feature Extractor (SFE) has been developed to extract multi-word groups from elementary Sanskrit texts. In this paper, it is attempted to extract the multi-word groups using morphological analysis (MA) and word sequence rules.
关键词：Chunks; Local Word Groups; Multi-Word Expressions; Multi-Word Groups; Noun Groups; Phrase; ;Sanskrit; Sequence Feature Extractor; Verb Groups
