15 citations · 15 across the 6 of their papers we have counts for
6 papers
Training Data Size Sensitivity in Unsupervised Rhyme Recognition
Petr Plecháč, Artjoms Šeļa, Silvie Cinková +7
Rhyme is deceptively intuitive: what is or is not a rhyme is constructed historically, scholars struggle with rhyme classification, and people disagree on whether two words are rhy…
Metronome: tracing variation in poetic meters via local sequence alignment
Ben Nagy, Artjoms Šeļa, Mirella De Sisto +1
All poetic forms come from somewhere. Prosodic templates can be copied for generations, altered by individuals, imported from foreign traditions, or fundamentally changed under the…
Computational thematics: Comparing algorithms for clustering the genres of literary fiction
Oleg Sobchuk, Artjoms Šeļa
What are the best methods of capturing thematic similarity between literary texts? Knowing the answer to this question would be useful for automatic clustering of book genres, or a…
Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets
Jan Idziak, Artjoms Šeļa, Michał Woźniak +3
The paper discusses an approach to decipher large collections of handwritten index cards of historical dictionaries. Our study provides a working solution that reads the cards, and…
From stage to page: language independent bootstrap measures of distinctiveness in fictional speech
Artjoms Šeļa, Ben Nagy, Joanna Byszuk +3
Stylometry is mostly applied to authorial style. Recently, researchers have begun investigating the style of characters, finding that the variation remains within authorial bounds.…
Semantics of European poetry is shaped by conservative forces: The relationship between poetic meter and meaning in accentual-syllabic verse
Artjoms Šeļa, Petr Plecháč, Alie Lassche
Recent advances in cultural analytics and large-scale computational studies of art, literature and film often show that long-term change in the features of artistic works happens g…