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Assessing Conformance of Manually Simplified Corpora with User Requirements: the Case of Autistic Readers

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Figure

Table 1: Corpora characteristics
Table 2: Complexity measures (1 – words such as therefore and hence; 2 – words such as equally andcorrespondingly; 3 – words such as although and conversely; 4 – sentences more than 15 words long; 8 –negative adverbials and negative prefixes such as un- and dis-; 11 – derived from Wiktionary frequencylists for English16)
Figure 1: Lexico-syntactic patterns used to detect passive verbs (‘*’ indicates zero or more repetitions ofthe item it is attached to, while R B V,BN V,BD, and MDare Penn treebank tags returned by the LTTTT PoS tagger: R B– adverb; VBN– past participle; VBD– past tense; and MD– modal verb)
Table 7: F-measure with standard deviation in a 10-fold cross-validation setup with 10 repetitions forfour classification algorithms: SMO-n, NB, JRip, and J48 (* – statistically significant degradation incomparison with SMO-n)

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