Acquiring lexical knowledge using raw corpora and unsupervised clustering method
- Authors
- Park, Kinam; Lim, Heuiseok
- Issue Date
- Sep-2014
- Publisher
- Baltzer Science Publishers B.V.
- Keywords
- Lexical knowledge acquisition; Mental lexicon; SOM; Entropy
- Citation
- Cluster Computing, v.17, no.3, pp 901 - 910
- Pages
- 10
- Journal Title
- Cluster Computing
- Volume
- 17
- Number
- 3
- Start Page
- 901
- End Page
- 910
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/11934
- DOI
- 10.1007/s10586-013-0306-3
- ISSN
- 1386-7857
1573-7543
- Abstract
- 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.
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Collections - College of Engineering > Department of Computer Software Engineering > 1. Journal Articles
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