Acquiring lexical knowledge using raw corpora and unsupervised clustering method

作者：Park Kinam; Lim Heuiseok^*

来源：Cluster Computing, 2014, 17(3): 901-910.

DOI：10.1007/s10586-013-0306-3

• Lexical knowledge acquisition
• Mental lexicon
• SOM
• Entropy

In this paper, we propose a computational model for automatic acquisition of lexical knowledge based on the principles of human language information processing. The proposed model assumes a hybrid model for the human lexical representation including full-list and decomposition forms. The proposed method automatically acquires lexical entries and its grammatical knowledge by unsupervised learning techniques. For the purposes of evaluating performance of the proposed method, a large-scale corpus of over 10 million lexical was used, the lexical knowledge acquisition process was tested, and the results were analyzed.

• 出版日期2014-9