Spelling suggestions: "subject:"text reuse"" "subject:"text keuse""
1 |
Modification Analysis in Historical Paraphrastical Parallel Text / An Empirical Work on Stable and Changing Elements in Historical Text ReuseBerger, Maria 02 May 2019 (has links)
No description available.
|
2 |
Digital Plato: Tradition and ReceptionWöckener-Gade, Eva 19 March 2018 (has links)
No description available.
|
3 |
Visualizing Similarities between American Rap-Artists based on Text ReuseMeinecke, Christofer, Schebera, Jeremias, Eschrich, Jakob, Wiegreffe, Daniel 07 July 2022 (has links)
Rap music is one of the biggest music genres in the
world today. Since the early days of rap music, references not only
to pop culture but also to other rap artists have been an integral
part of the lyrics’ artistry. Rappers may use them to introduce
their shared personal backgrounds such as where they grew up.
In addition, rap musicians reference each other by adopting
fragments of lyrics, for example, to give credit. This kind of text
reuse can be used to create connections between individual artists.
Due to the large amount of lyrics, only automated detection
methods can efficiently detect text reuse. In addition, automated
methods can also be used to identify similar artists based on
their lyrical content. Here, we present a visualization system for
analyzing text reuse in rap music lyrics. The system supports
the user of detecting text reuse and allusions between songs
and exploring connections between artists. For this purpose, we
crawled song lyrics and their metadata of selected American
rap artists from Genius.com. We also trained a network tailored
specifically for rap lyrics, which we named “rapBERTa”, to
compute similarities in lyrics.
|
4 |
Documenting Text Reuse of Greek Fragmentary AuthorsBerti, Monica 19 March 2018 (has links)
No description available.
|
5 |
Citation Practices in Jerome’s Letters as vestigia of Late Antique Identity ConstructionRevellio, Marie 19 March 2018 (has links)
No description available.
|
6 |
Cromwell on the Moon; Or, Printing, Popularity, Persuasion : An Account of Text Reuse Patterns and Eighteenth-Century Utopian ThinkingHinderks, Kira Sophie January 2023 (has links)
This thesis approaches eighteenth-century utopian thinking from a new methodological angle, namely by utilising the Reception Reader, an open-access text reuse detection tool, to study a sub-corpus of 39 utopian works available in ECCO (Eighteenth Century Collections Online), the largest collection of digitised eighteenth-century texts printed in the British and Irish Isles. As the first study of text reuse in utopian thinking, this thesis shows that text reuse detection is a viable method for gaining new insights into eighteenth-century utopian thinking. Engaging with existing theories of text reuse in historical materials, this thesis proposes a theoretical framework that is particularly suited for the study of text reuse in eighteenth-century books, with an emphasis on the interrelationship between text reuse and contemporary print culture. This thesis argues that an investigation of text reuse patterns at three interconnected levels—reflecting print culture, genre popularity, and individual authors’ persuasive strategies—results in a better understanding of the presence and purpose of text reuse in eighteenth-century utopian works. This thesis posits that text reuse was often a deliberate choice on the part of the author to signal belonging to a shared intellectual tradition, and, most importantly, to support the overall critical aim of the utopian work. Individual instances of text reuse in utopian works are signs of deliberate or unintentional engagement with the culture that surrounded these works. A more nuanced interpretation of how utopian thinking interacted with contemporary print culture is crucial for recognising why utopian thinking continued to be prevalent throughout the eighteenth century.
|
7 |
Explorative Visual Analysis of Rap MusicMeinecke, Christofer, Hakimi, Ahmad Dawar, Jänicke, Stefan 04 May 2023 (has links)
Detecting references and similarities in music lyrics can be a difficult task. Crowdsourced knowledge platforms such as Genius. can help in this process through user-annotated information about the artist and the song but fail to include visualizations to help users find similarities and structures on a higher and more abstract level. We propose a prototype to compute similarities between rap artists based on word embedding of their lyrics crawled from Genius. Furthermore, the artists and their lyrics can be analyzed using an explorative visualization system applying multiple visualization methods to support domain-specific tasks.
|
8 |
“The Bard meets the Doctor” – Computergestützte Identifikation intertextueller Shakespearebezüge in der Science Fiction-Serie Dr. WhoBurghardt, Manuel, Meyer, Selina, Schmidtbauer, Stephanie 05 June 2024 (has links)
No description available.
|
9 |
A Computational Expedition into the Undiscovered Country - Evaluating Neural Networks for the Identification of Hamlet Text ReuseBryan, Maximilian, Burghardt, Manuel, Molz, Johannes 20 June 2024 (has links)
In this article, we describe a two-step processing pipeline for identifying text reuse of Shakespeare’s
Hamlet in a corpus of postmodern fiction by comparing n-grams from both sources. A key feature of
our approach lies in a pre-filtering step, in which we select target sentences in the fiction corpus that
are potential candidates for Hamlet text reuse. Without pre-filtering, the amount of text reuse pairs
(that are no actual quotes) would be extremely high. In a second filtering step, we compare potential
text reuse pairs by their vector representation using a neural network trained in an unsupervised
manner. We found that using the vector similarity produces a problematic amount of false positives.
The created vector representations are created using an unsupervised training approach, resulting in
similarity aspects that are unfavorable for our use case.
|
10 |
„The Vectorian“ – Eine parametrisierbare Suchmaschine für intertextuelle ReferenzenLiebl, Bernhard, Burghardt, Manuel 20 June 2024 (has links)
No description available.
|
Page generated in 0.052 seconds