Word association learning system based on vocabulary morphology network

Learning vocabularies is an essential task when learning a foreign language. However, most learners seem to experience similar difficulties in learning vocabularies in terms of large burden and a lack of motivation. In this paper, we propose an approach for association-based word learning through vocabulary morphology network. Vocabulary morphology network is based on graph theory. All words are organized into the network. The paper shows how the vocabulary morphology network is constructed and applied to association learning system that aims at making vocabulary learning more attractive and more fun for learners.