Automatic Authorship Attribution in the Work of Tirso de Molina
원문 초록
Automatic Authorship Attribution (AAA) is the result of applying tools and techniques from Digital Humanities to authorship attribution studies. Through a quantitative and statistical approach this discipline can draw further conclusions about renowned authorship issues which traditional critics have been dealing with for centuries, opening a new door to style comparison. The aim of this paper is to prove the potential of these tools and techniques by testing the authorship of five comedies traditionally attributed to Spanish playwright Tirso de Molina (1579-1648): La ninfa del cielo, El burlador de Sevilla, Tan largo me lo fiais, La mujer por fuerza and El condenado por desconfiado. To accomplish this purpose some experiments concerning clustering analysis by Stylo package from R and four distance measures are carried out on a corpus built with plays by Tirso, Andres de Claramonte (c. 1560-1626), Antonio Mira de Amescua (1577-1644) and Luis Velez de Guevara (1579-1644). The results obtained point to the denial of all the attributions to Tirso except for the case of La mujer por fuerza.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text
Open or Closed LLM for Lesser-Resourced Languages? Lessons from Greek
MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data
OCEAN: Open-World Contrastive Authorship Identification
Decoding MIE: A Novel Dataset Approach Using Topic Extraction and Affiliation Parsing
Towards Effective Authorship Attribution: Integrating Class-Incremental Learning
토론
이 논문과 연결된 포럼 글이 아직 없습니다.