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Volumn 2, Issue , 2010, Pages 276-284

A comparison of features for automatic readability assessment

Author keywords

[No Author keywords available]

Indexed keywords

EXPLANATORY VARIABLES; HIGHLY-CORRELATED; LANGUAGE MODEL; LANGUAGE MODELING; PREDICTIVE POWER; PRIMARY SCHOOLS; SENTENCE LENGTH; STATE OF THE ART; SYNTACTIC FEATURES;

EID: 80053409771     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (208)

References (23)
  • 2
    • 41549147844 scopus 로고    scopus 로고
    • Modeling local coherence: An entity-based approach
    • Regina Barzilay and Mirella Lapata. 2008. Modeling local coherence: An entity-based approach. Computational Linguistics, 34(1):1-34.
    • (2008) Computational Linguistics , vol.34 , Issue.1 , pp. 1-34
    • Barzilay, R.1    Lapata, M.2
  • 16
    • 0001736594 scopus 로고
    • Smog grading a new readability formula
    • G. Harry McLaughlin. 1969. Smog grading a new readability formula. Journal of Reading, 12(8):639-646.
    • (1969) Journal of Reading , vol.12 , Issue.8 , pp. 639-646
    • McLaughlin, G.H.1
  • 18
    • 47349126416 scopus 로고    scopus 로고
    • A machine learning approach to reading level assessment
    • Sarah E. Petersen and Mari Ostendorf. 2009. A machine learning approach to reading level assessment. Computer Speech and Language, 23:89-106.
    • (2009) Computer Speech and Language , vol.23 , pp. 89-106
    • Petersen, S.E.1    Ostendorf, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.