Authorship attribution using phonologically-based style markers
It can be difficult to define writing style in terms that a machine can understand. Finding features in the text that can be indicative of style is thus of paramount importance. Non-traditional authorship attribution methods today hinge on the idea that t
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| Format: | text |
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Archīum Ateneo
2011
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| Online Access: | https://archium.ateneo.edu/theses-dissertations/163 |
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| Institution: | Ateneo De Manila University |
| Summary: | It can be difficult to define writing style in terms that a machine can understand. Finding features in the text that can be indicative of style is thus of paramount importance. Non-traditional authorship attribution methods today hinge on the idea that t |
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