A statistical model based on the three head words for detecting article errors

IEICE Transactions on Information and Systems

Volumn E88-D, Issue 7, 2005, Pages 1700-1705

  Nagata, Ryo ^a,c   Iguchi, Tatsuya ^b,d   Masui, Fumito ^b,c,e,f   Kawai, Atsuo ^b,c,g   Isu, Naoki ^b,g,h,i  

^a HYOGO UNIVERSITY OF TEACHER EDUCATION   (Japan)

^b MIE UNIVERSITY   (Japan)

^c Association for Natural Language Processing   (Japan)

^d HITACHI LTD   (Japan)

^e Mie Univ ^*

^f Society of Plant Engineers

^g IPSJ   (Japan)

^h Japan Neuroscience Society   (Japan)

ⁱ Physiological Society of Japan   (Japan)

Author keywords

Article errors; Japanese learners of English; Statistical model; The data sparseness problem; Three head words

Indexed keywords

ERROR DETECTION; MATHEMATICAL MODELS; PROBABILITY; PROBLEM SOLVING; STATISTICAL METHODS;

ARTICLE ERRORS; JAPANESE LEARNERS OF ENGLISH; STATISTICAL MODEL; THE DATA SPARSENESS PROBLEM; THREE HEAD WORDS;

TEXT PROCESSING;

EID: 26044437468     PISSN: 09168532     EISSN: 17451361     Source Type: Journal    
DOI: 10.1093/ietisy/e88-d.7.1700     Document Type: Article

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