Acquiring lexical knowledge using raw corpora and unsupervised clustering method
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Kinam | - |
dc.contributor.author | Lim, Heuiseok | - |
dc.date.accessioned | 2021-09-05T05:42:45Z | - |
dc.date.available | 2021-09-05T05:42:45Z | - |
dc.date.created | 2021-06-15 | - |
dc.date.issued | 2014-09 | - |
dc.identifier.issn | 1386-7857 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/97531 | - |
dc.description.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. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER | - |
dc.subject | VISUAL WORD RECOGNITION | - |
dc.subject | INTERNAL LEXICON | - |
dc.subject | AFFIXED WORDS | - |
dc.subject | REPRESENTATION | - |
dc.subject | MORPHOLOGY | - |
dc.subject | MODEL | - |
dc.subject | FREQUENCY | - |
dc.title | Acquiring lexical knowledge using raw corpora and unsupervised clustering method | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lim, Heuiseok | - |
dc.identifier.doi | 10.1007/s10586-013-0306-3 | - |
dc.identifier.scopusid | 2-s2.0-84906780126 | - |
dc.identifier.wosid | 000341081900027 | - |
dc.identifier.bibliographicCitation | CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, v.17, no.3, pp.901 - 910 | - |
dc.relation.isPartOf | CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | - |
dc.citation.title | CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | - |
dc.citation.volume | 17 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 901 | - |
dc.citation.endPage | 910 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.subject.keywordPlus | VISUAL WORD RECOGNITION | - |
dc.subject.keywordPlus | INTERNAL LEXICON | - |
dc.subject.keywordPlus | AFFIXED WORDS | - |
dc.subject.keywordPlus | REPRESENTATION | - |
dc.subject.keywordPlus | MORPHOLOGY | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordPlus | FREQUENCY | - |
dc.subject.keywordAuthor | Lexical knowledge acquisition | - |
dc.subject.keywordAuthor | Mental lexicon | - |
dc.subject.keywordAuthor | SOM | - |
dc.subject.keywordAuthor | Entropy | - |
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