Computational Approach to Arabic Broken Derived Nouns Morphology

Automatic acquisition of morphological resources for Melanau language

“…Supervised learning is based on a labeled training set for inducing morphological structures. Unsupervised learning learns the morphology from a raw set data without any direct access to the internal structures of words [5,6,7,8]. However, the main drawback of the automatic method is that it can produce poor results due to sparse data, which is a characteristic of under-resourced languages (U-RL).…”