Search Results for author: Artjoms Šeļa

Found 5 papers, 1 papers with code

Metronome: tracing variation in poetic meters via local sequence alignment

1 code implementation26 Apr 2024 Ben Nagy, Artjoms Šeļa, Mirella De Sisto, Petr Plecháč

This paper introduces an unsupervised method for detecting structural similarities in poems using local sequence alignment.

Computational thematics: Comparing algorithms for clustering the genres of literary fiction

no code implementations18 May 2023 Oleg Sobchuk, Artjoms Šeļa

To illustrate the sharp difference between the best and the worst methods, we then cluster 5000 random novels from the HathiTrust corpus of fiction.

Clustering

Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets

no code implementations28 Mar 2023 Jan Idziak, Artjoms Šeļa, Michał Woźniak, Albert Leśniak, Joanna Byszuk, Maciej Eder

Our study provides a working solution that reads the cards, and links their lemmas to a searchable list of dictionary entries, for a large historical dictionary entitled the Dictionary of the 17th- and 18th-century Polish, which comprizes 2. 8 million index cards.

Handwritten Text Recognition HTR +1

Semantics of European poetry is shaped by conservative forces: The relationship between poetic meter and meaning in accentual-syllabic verse

no code implementations15 Sep 2021 Artjoms Šeļa, Petr Plecháč, Alie Lassche

Our study traces this association through a series of clustering experiments using the abstracted semantic features of 150, 000 poems.

Clustering

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