katya-dev
Katya or The Liberated Corpus a text corpus that allows you to request and scrape any web resource! (by thecsw)
Attribution
Computational-Linguistics Attribution Data (by faktorovich)
katya-dev | Attribution | |
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1 | 1 | |
5 | 2 | |
- | - | |
2.4 | 6.9 | |
3 months ago | 3 months ago | |
Go | ||
MIT License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
katya-dev
Posts with mentions or reviews of katya-dev.
We have used some of these posts to build our list of alternatives
and similar projects.
Attribution
Posts with mentions or reviews of Attribution.
We have used some of these posts to build our list of alternatives
and similar projects.
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British Renaissance Re-Attribution and Modernization Series - Scholarly/Drama/Poetry/Bible
This series is cataloged in the World Shakespeare Bibliography and in the Play Index (EBSCO). A few sections out of BRRAM have been published in scholarly journals. “Manipulation of Theatrical Audience-Size: Nonexistent Plays and Murderous Lenders” was published in Critical Survey, Issue 34.1, Spring 2022. “‘Michael Cavendish’s’ 14 Airs in Tablature to the Lute (1598)” was published in East-West Cultural Passage, Volume 22, Issue 2, December 2022. The Journal of Information Ethics published two articles on Faktorovich’s re-attribution method: “Publishers and Hack Writers: Signs of Collaborative Writing in the ‘Defoe’ Canon” (Fall 2020) and “Falsifications and Fabrications in the Standard Computational-Linguistics Authorial-Attribution Methods: A Comparison of the Methodology in ‘Unmasking’ with the 28-Tests” (Spring 2022). BRRAM is also mentioned on Wikipedia and there have been over 1,741 comments about it on LibraryThing. The computational data, handwriting comparisons across bylines, diagrams and other content to assist further research is publicly accessible at: https://github.com/faktorovich/Attribution