Abstract
Malayalam is a highly agglutinated resource-poor language. A lot of words in Malayalam are formed by the repeated addition of suffixes into root forms of the words called stems. Such words are called compound words. Identifying root words from the compound words is a key challenge in the preprocessing of Malayalam text. The grammar rules in Malayalam known as sandhi rules play a vital role in the splitting and formation of compound words. In this paper, we have proposed a hybrid methodology for suffix separation in Malayalam compound words. The sandhi rule associated with each compound word is recognized through machine learning approach. And suffix separation is performed using a rule-based approach. Since a lot of rules are required for suffix separation in Malayalam, we have only considered ‘Agamasandhi’ words for rule-based splitting. The proposed system provides better results and can be extended to prepare a complete suffix separation system for Malayalam.
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