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This paper presents a machine learning approach for identification of Bengalimultiword expressions (MWE) which are bigram nominal compounds. Our proposedapproach has two steps: (1) candidate extraction using chunk information andvarious heuristic rules and (2) training the machine learning algorithm calledRandom Forest to classify the candidates into two groups: bigram nominalcompound MWE or not bigram nominal compound MWE. A variety of associationmeasures, syntactic and linguistic clues and a set of WordNet-based similarityfeatures have been used for our MWE identification task. The approach presentedin this paper can be used to identify bigram nominal compound MWE in Bengalirunning text.

A Machine Learning Approach for the Identification of Bengali Noun-Noun Compound Multiword Expressions