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Volumn 2, Issue 2, 1997, Pages 181-197

Czech national corpus: A case in many contexts

Author keywords

Corpus and general linguistics; Corpus build up; Czech language; Linguistic issues for the corpus

Indexed keywords


EID: 84989378053     PISSN: 13846655     EISSN: 15699811     Source Type: Journal    
DOI: 10.1075/ijcl.2.2.03cer     Document Type: Article
Times cited : (16)

References (10)
  • 2
    • 0039049276 scopus 로고
    • Representativeness in Corpus Design
    • Biber, D. 1993. “Representativeness in Corpus Design.” Literary and Linguistic Computing 8(4): 243-257.
    • (1993) Literary and Linguistic Computing , vol.8 , Issue.4 , pp. 243-257
    • Biber, D.1
  • 4
    • 63849238239 scopus 로고
    • Jazykový korpus: Prostředek a zdroj poznání
    • Language Corpus: Means and Source of Knowledge
    • Čermák, F. 1995. “Jazykový korpus: Prostředek a zdroj poznání.” Slovo a slovesnost 56: 119-140. (Language Corpus: Means and Source of Knowledge).
    • (1995) Slovo a Slovesnost , vol.56 , pp. 119-140
    • Čermák, F.1
  • 5
    • 84936824188 scopus 로고
    • Word Association Norms, Mutual Information, and Lexicography
    • Church, K. W. and P. Hanks. 1992. “Word Association Norms, Mutual Information, and Lexicography.” Computational Linguistics 16: 22-29.
    • (1992) Computational Linguistics , vol.16 , pp. 22-29
    • Church, K.W.1    Hanks, P.2
  • 8
    • 79956951179 scopus 로고
    • Preparing a Text Corpus. Computational Tools and Methods for Standardizing, Tagging and Structuring Text Data
    • R. Kiefer et al. Research Institute for Linguistics, Hungarian Academy of Sciences: Budapest
    • Norling-Christensen, O. 1992. “Preparing a Text Corpus. Computational Tools and Methods for Standardizing, Tagging and Structuring Text Data.” Papers in Computational Lexicography COMPLEX’92: 251-259. Eds. R. Kiefer et al. Research Institute for Linguistics, Hungarian Academy of Sciences: Budapest.
    • (1992) Papers in Computational Lexicography COMPLEX’92 , pp. 251-259
    • Norling-Christensen, O.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.