In this paper we try to present psycholinguistically motivated computational model for the access and representation of Bangla polymorphemic words in the Mental Lexicon. We first conduct a series of masked priming experiment on a set of Bangla polymorphemic words. Our analysis indicates a significant number of words shows morphological decomposition during the processing stage. We further developed a computational model for the processing of Bangla polymorphemic words. The novelty of the new model over the existing ones are, the proposed model not only considers the frequency of the derived word but also considers the role of its constituent stem, suffix and the degree of affixation between the stem and the suffix. We have evaluated the new model with the results obtained from the priming experiment and then compare it with the state of the art. The proposed model has been found to perform better than the existing models.
['Tirthankar Dasgupta', 'Manjira Sinha', 'Anupam Basu']
Modelling the Organization and Processing of Bangla Polymorphemic Words in the Mental Lexicon: A Computational Approach