Abstract
Stylometric analysis of prose is typically limited to classification tasks such as authorship attribution. Since the models used are typically black boxes, they give little insight into the stylistic differences they detect. In this paper, we characterize two prose genres syntactically: chick lit (humorous novels on the
challenges of being a modern-day urban female) and high literature. First, we develop a top-down computational method based on existing literary-linguistic theory. Using an off-the-shelf parser we obtain syntactic structures for a Dutch corpus of novels and measure the distribution of sentence types in chick-lit
and literary novels. The results show that literature contains more complex (subordinating) sentences than chick lit. Secondly, a bottom-up analysis is made of specific morphological and syntactic features in both genres, based on the
parser’s output. This shows that the two genres can be distinguished along certain features. Our results indicate that detailed insight into stylistic differences can be obtained by combining computational linguistic analysis with
literary theory.
challenges of being a modern-day urban female) and high literature. First, we develop a top-down computational method based on existing literary-linguistic theory. Using an off-the-shelf parser we obtain syntactic structures for a Dutch corpus of novels and measure the distribution of sentence types in chick-lit
and literary novels. The results show that literature contains more complex (subordinating) sentences than chick lit. Secondly, a bottom-up analysis is made of specific morphological and syntactic features in both genres, based on the
parser’s output. This shows that the two genres can be distinguished along certain features. Our results indicate that detailed insight into stylistic differences can be obtained by combining computational linguistic analysis with
literary theory.
Original language | English |
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Title of host publication | Proceedings of Computational Linguistics for Literature workshop |
Place of Publication | Atlanta, Georgia |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 72-81 |
Number of pages | 10 |
Publication status | Published - Jun-2013 |
Externally published | Yes |