2004 · 28 citations · 7 references
EducationComputer ScienceLinguisticsNatural Language ProcessingRhetoricText AnalyticsAutomated Essay ScoringEssay OrganizationEssay WritingLanguage AssessmentVocabulary AssessmentWriting AssessmentAutomated Writing EvaluationContent ScoringEssay ClassificationEssay Quality AssessmentJapanese LinguisticsNewspaper JournalismOrganization ScoringText Score
We have developed an automated Japanese essay scoring system named jess. The system evaluates an essay from three features: (1) Rhetoric | ease of read-ing, diversity of vocabulary, percentage of big words (long, dicult words), and percentage of passive sen-tences, (2) Organization | characteristics associated with the orderly presentation of ideas, such as rhetori-cal features and linguistic cues, (3) Contents | vocab-ulary related to the topic, such as relevant information and precise or specialized vocabulary. The nal eval-uated score is calculated by deducting from a perfect score assigned by a learning process using editorials
7
Indexing by latent semantic analysis
Scott Deerwester, Susan Dumais, George W. Furnas et al. · Journal of the American Society for Information Science · 1990 · 12.8K citations
The Statistical Study of Literary Vocabulary.
Paul R. Rider, George Yule · Journal of the American Statistical Association · 1944 · 441 citations · Full text
Humanities, Linguistics, Literature +14
Automated scoring using a hybrid feature identification technique
Jill Burstein, Karen Kukich, Susanne Wolff et al. · 1998 · 153 citations · Full text