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Maria Levchenko

@maria-lev

Digital Humanities Software Engineer

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29.12.2024
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Latest posts by Maria Levchenko @maria-lev

Call for Papers

πŸ—“οΈ We are thrilled to announce the Call for Papers for the conference+journal track of the 5th annual Conference of Computational Literary Studies, May 28-29, 2026, in #Potsdam, #Germany! #CCLS26 #CfP

Submit your article by January 8, 2026, and be part of our big 5-year jubilee edition! πŸ₯³πŸ₯³πŸ₯³

24.09.2025 14:33 πŸ‘ 14 πŸ” 13 πŸ’¬ 1 πŸ“Œ 0

Journal of Computational Literary Studies has the most beautiful journal design β€” and such a great team behind it! Happy and honoured to be published here: bsky.app/profile/jcls... Many thanks to everyone involved! πŸ’™

22.09.2025 14:59 πŸ‘ 7 πŸ” 4 πŸ’¬ 1 πŸ“Œ 0

@maria-lev.bsky.social’s "Computational Analysis of Literary Communities. Event-Based Social Network Study of St. Petersburg 1999-2019" is now live in the "Journal of Computational Literary Studies" 4(1)
πŸ‘‰ doi.org/10.48694/jcl...

22.09.2025 14:10 πŸ‘ 12 πŸ” 5 πŸ’¬ 1 πŸ“Œ 0

Put your manuscript about computational poetics in the trustworthy hands of @artjomshl.bsky.social

05.07.2025 20:49 πŸ‘ 8 πŸ” 3 πŸ’¬ 0 πŸ“Œ 0
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Maria Levchenko presents her paper: Computational Analysis of Literary Communities: Event-Based Social Network Study of St. Petersburg 1999–2019 (doi.org/10.26083/tup...)
#CCLS2025

03.07.2025 09:24 πŸ‘ 7 πŸ” 2 πŸ’¬ 0 πŸ“Œ 0
Preview
harry potter is reading a letter from shms ALT: harry potter is reading a letter from shms

πŸ“¬ First Easter eggs spotted this week! 🐣 Authors, check your mailboxes: acceptance notifications for #CCLS25 have just been sent out! #JCLS #ComputationalLiteraryStudies #LiteraryComputing #CLS jcls.io

17.04.2025 19:46 πŸ‘ 4 πŸ” 2 πŸ’¬ 1 πŸ“Œ 0
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🚨 Our Call for Papers is out! 🚨

We continue our tradition of providing a dedicated platform for presenting computational work that bridges formal methods and traditional inquiry in the arts and humanities.

Check out the website for all details: 2025.computational-humanities-research.org/cfp/

26.03.2025 13:35 πŸ‘ 41 πŸ” 33 πŸ’¬ 1 πŸ“Œ 3
Preview
Early evidence of how LLMs outperform traditional systems on OCR/HTR tasks for historical records We explore the ability of two LLMs -- GPT-4o and Claude Sonnet 3.5 -- to transcribe historical handwritten documents in a tabular format and compare their performance to traditional OCR/HTR systems: E...

Preprint argues that LLMs outperform traditional approaches to handwriting recognition, especially with few-shot prompting. + arxiv.org/abs/2501.11623

27.01.2025 23:03 πŸ‘ 61 πŸ” 14 πŸ’¬ 7 πŸ“Œ 0

the same problem πŸ˜‚

29.12.2024 23:39 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0