2021/01/22 by Anne-Kathrin Schumann, Schumann, Anne-Kathrin, Christoph Beierle +3
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #I.2.7 #J.5 #Music and Audio Processing #Natural Language Processing Techniques #cs.AI #cs.CL
paper · pdf · doi:10.48550/arxiv.2101.11437
13 pages, 5 figures
arxiv created 2021/01/22 · openalex publication_date 2021/01/22 · arxiv updated 2021/01/28 · openalex created_date 2021/02/01 · openalex updated_date 2026/07/28
This paper presents a fully automatic approach to the scansion of Classical Greek hexameter verse. In particular, the paper describes an algorithm that uses deterministic finite-state automata and local linguistic rules to implement a targeted search for valid spondeus patterns and, in addition, a weighted finite-state transducer to correct and complete partial analyses and to reject invalid candidates. The paper also details the results of an empirical evaluation of the annotation quality resulting from this approach on hand-annotated data. It is shown that a finite-state approach provides quick and linguistically sound analyses of hexameter verses as well as an efficient formalisation of linguistic knowledge. The project code is available (see https://github.com/anetschka/greekscansion).