Identifying copied fragments in an 18th Century Dutch chronicle
Abstract: We apply computational stylometric techniques to an 18th century Dutch chronicle to determine which fragments of the manuscript represent the author's own original work and which show signs of external source use through either direct copying or paraphrasing. Through stylometric methods the majority of text fragments in the chronicle can be correctly labelled as either the author's own words, direct copies from sources or paraphrasing. Our results show that clustering text fragments based on stylometric measures is an effective methodology for authorship verification of this document... Mehr ...
| Verfasser: | |
|---|---|
| Dokumenttyp: | conferenceObject |
| Erscheinungsdatum: | 2022 |
| Schlagwörter: | Computer. Automation / Linguistics |
| Sprache: | Englisch |
| Permalink: | https://search.fid-benelux.de/Record/base-26673769 |
| Datenquelle: | BASE; Originalkatalog |
| Powered By: | BASE |
| Link(s) : | https://hdl.handle.net/10067/1944270151162165141 |
Abstract: We apply computational stylometric techniques to an 18th century Dutch chronicle to determine which fragments of the manuscript represent the author's own original work and which show signs of external source use through either direct copying or paraphrasing. Through stylometric methods the majority of text fragments in the chronicle can be correctly labelled as either the author's own words, direct copies from sources or paraphrasing. Our results show that clustering text fragments based on stylometric measures is an effective methodology for authorship verification of this document; however, this approach is less effective when personal writing style is masked by author independent styles or when applied to paraphrased text.