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Volumn 6657 LNAI, Issue , 2011, Pages 216-221

Comparison of semantic similarity for different languages using the Google n-gram corpus and second-order co-occurrence measures

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; RAPID THERMAL ANNEALING; SEMANTICS;

EID: 79957933745     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21043-3_26     Document Type: Conference Paper
Times cited : (32)

References (10)
  • 2
    • 72049111113 scopus 로고    scopus 로고
    • How Well Do Semantic Relatedness Measures Perform? A Meta-Study
    • Cramer, I.: How Well Do Semantic Relatedness Measures Perform? A Meta-Study. In: Proceedings of STEP 2008 Conference, vol. 1, pp. 59-70 (2008)
    • (2008) Proceedings of STEP 2008 Conference , vol.1 , pp. 59-70
    • Cramer, I.1
  • 5
    • 80053262859 scopus 로고    scopus 로고
    • Semantic Similarity for Detecting Recognition Errors in Automatic Speech Transcripts
    • Inkpen, D., Desliets, A.: Semantic Similarity for Detecting Recognition Errors in Automatic Speech Transcripts. In: EMNLP 2005, Vancouver, Canada (2005)
    • EMNLP 2005, Vancouver, Canada (2005)
    • Inkpen, D.1    Desliets, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.