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Table 1.

Design scheme of COCE and statistical facts of its English component.

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Table 1 Expand

Table 2.

Descriptive statistics for the 13 measures in the five subconstructs of syntactic complexity.

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Table 2 Expand

Table 3.

ANOVA results in the main analysis.

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Table 3 Expand

Fig 1.

Syntactic complexity (z-score) as a function of number of mean sentence length (z-score) in text.

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Fig 1 Expand

Fig 2.

Comparison of the two corpora in syntactic complexity for each genre type.

Error bar represents ±SE.

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Fig 2 Expand

Table 4.

ANOVA results for the by-genre separate analyses.

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Table 4 Expand

Fig 3.

Comparison of the two corpora in syntactic complexity for each measure.

Error bar represents ±SE. LPU = Length of Production Unit, AS = Amount of Subordination, AC = Amount of Coordination, PC = Phrasal Complexity, OSC = Overall Sentence Complexity.

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Fig 3 Expand

Table 5.

ANOVA results for the by-subconstruct separate analyses.

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Table 5 Expand

Table 6.

Mann-Whitney tests on syntactic complexity between FLOB news and COCE news.

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Table 6 Expand

Example 1.

Example from news in FLOB and COCE.

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Example 1 Expand

Example 2.

Example from news in FLOB and COCE.

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Example 2 Expand

Table 7.

Mann-Whitney tests on syntactic complexity between FLOB prose and COCE prose.

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Table 7 Expand

Example 3.

Examples with “if” retrieved from COCE and FLOB general prose.

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Example 3 Expand

Example 4.

Examples with “despite” retrieved from COCE and FLOB general prose.

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Example 4 Expand

Table 8.

Mann-Whitney tests on syntactic complexity between FLOB academic writing and COCE academic writing.

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Table 8 Expand

Example 5.

Example retrieved from the academic prose of FLOB and COCE.

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Example 5 Expand

Table 9.

Mann-Whitney tests on syntactic complexity between FLOB fiction and COCE fiction.

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Table 9 Expand

Example 6.

Example of sentence length in fiction between FLOB and COCE.

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Example 6 Expand

Example 7.

Coordinate phrases in fiction between FLOB and COCE.

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Example 7 Expand