Registration is still open for the annual Summer School in #DigitalHumanities in Pisa @Unipisa
- Application deadline: April 15, 2026
- Dates: May 25 – May 30, 2026
- Language: English
- Registration Fee: €500
www.unipi.it/didattica/co...
Screenshot of the poets' gallery in the SPARQL examples
The #RomanticPeriodPoetryArchive is officially in beta and open for testing! 🚀
We are modelling #GlobalRomanticism through the #SemanticWeb and your participation is encouraged and appreciated!
Explore the beta: www.romanticperiodpoetry.org
#Romanticism #19thC #poetry #DigitalHumanities
📜 Attention DH2026 reviewers! Your reviewer certificate is now available for download. Thank you for your invaluable contribution to our peer review process!
🔗 www.conftool.pro/dh2026/index...
#DH2026
We’re looking for a Research Data Engineer (m/f/x) (3,5 years). If you have a #DigitalHumanities profile with experience in #TEI encoding, #OCR / #HTR, and #IIIF (or any of those and are willing to learn the rest), get in touch! The full time position can be split, so if (for whatever reason) […]
What would you add? What would you remove?
Start a discussion in the GitHub issues as a kind of open review as I write up the method, etc. for this wordlist project.
#LREC2026 #NLProc papers from
@bamnlp.de @uni-bamberg.de ! See you in Palma!
Con lo stesso prompt, Sonnet 4.6 ha dato risultati diversi su 9 testi, talvolta ribaltando la valenza dell'emozione principale. #sanremo2026
A proposito di emozioni, ho usato GPT 5.2 con un prompt zero-shot molto semplice ("Per ciascun testo in input individua l'emozione principale usando la classificazione delle emozioni di base di Plutchik") e il risultato è visualizzato in questo diagramma alluvionale
In Sketch Engine i testi sono stati automaticamente annotati per parti del discorso: la lista degli aggettivi è dominata da possessivi (tuo, mia, mio nostra); accanto a questi ci sono aggettivi emotivamente connotati come bello, matto, gelido, stupido... #sanremo2026
3) con @sketchengine.eu, confrontando il corpus dei testi con il corpus ItalianTrends (www.sketchengine.eu/italian-tren...). #sanremo2026
2) con Voyant Tools che identifica le parole distintive di ogni testo con il TF-IDF #sanremo2026
Ho estratto poi le keywords in tre modi diversi:
1) con KD (Keyphrase Digger, @dh-fbk.bsky.social) che mostra anche espressioni multi-parola combinando misure statistiche con informazioni sui pattern di PoS #sanremo2026
Ho usato la MATTR (Moving Average Type Token Ratio, calcolata case-insensitive usando corpus-stats.lancs.ac.uk#2-word-calc) per valutare la diversità lessicale. I valori oscillano tra 0,60 (Francesco Renga) e 0,76 (Fedez e Masini). La media è di 0,70; la media dell'anno scorso era 0,69.
La lunghezza varia molto: il testo più lungo è quello di Nayt, quello più corto è di Patty Pravo (standard deviation 81).
Si parte con la word cloud di Voyant Tools; ovviamente "amore" vince su tutto (44 occorrenze)! L'alta frequenza di "fastidio" (29) è data dalla sua presenza nel solo testo di Ditonellapiaga. La parola "amore", invece, è presente in 17 testi su 30.
Sono usciti i testi di #Sanremo2026 e quindi è tempo di analisi!
Thread un po' lungo...⬇️
📢ATTENZIONE-ATTENZIONE📢
La scadenza per la presentazione degli abstract per il workshop “Verso l’interoperabilità: Linked Open Data e risorse linguistiche per l’italiano”
è stata posticipata al 27 febbraio 2026‼️
eventi.unibo.it/sli-2026/cal...
Segnaliamo l'uscita della call per lo shared task "Multilingual Clinical Entity Annotation Projection and Extraction" che riguarda 7 lingue tra cui l'italiano:
- Web: temu.bsc.es/MultiClinAI/
- Dati: doi.org/10.5281/zeno...
- Registrazione: temu.bsc.es/MultiClinAI/...
Test data of #EvaLatin2026 Named Entity Recognition task are available: circse.github.io/LT4HALA/2026...
System results are due to organizers by 19 February 2026!
#LT4HALA2026 #LREC2026
A Bologna per #ArtLab2026 con l’obiettivo di discutere delle sfide poste dall’intelligenza artificiale nei processi culturali e creativi
artlab.fitzcarraldo.it/tappa/bologna/
Test data of hashtag#EvaLatin2026 dependency parsing task are available: circse.github.io/LT4HALA/2026...
System results are due to organizers by 10 February 2026!
#LT4HALA2026 #LREC2026 #digiclass #NLProc
LatinCy Readers logo
Announcing—LatinCy Readers v.1.0.2, i.e. LatinCy-powered corpus readers for Latin text collections. Quickly get sentences, lines, words annotated for lemma, POS, morphology, NER, etc. Supporting .txt, .xml, .tess, .conllu, and more. github.com/diyclassics/... #digiclass #nlproc
Are you working on your #LT4HALA2026 submission?
The submission page of our #LREC2026 workshop is ready to accept your paper: softconf.com/lrec2026/LT4...
The deadline is February 17 (23:59 CET).
The full CFP is online: circse.github.io/LT4HALA/2026...
Thrilled to have had the opportunity to write the chapter on Digital Humanities and I’m looking forward so much to reading the other chapters.
@dimitrafimi.bsky.social and @lukebshelton.bsky.social were excellent editors!
Digital Humanities at Oxford Summer School [Bursary Applications Open]
https://dariah.ie/wordpress/2026/01/digital-humanities-at-oxford-summer-school-bursary-applications-open/
CFP: 5th Annual Conference of Computational Literary Studies, Potsdam 2026 jcls.io/site/ccls2026/
The #EVALITA2026 final workshop will be held in Bari on February 26-27th, 2026!
REGISTRATION is now open (in order to support the community, participants are requested to become members of AILC before registering for the workshop): www.ai-lc.it/en/evalita-r...
We’re hiring a two-year DH postdoc for our HAVI project, to work on a new type of knowledge graph architecture for the humanities (and beyond). Deadline soon (18 Jan)! www.cam.ac.uk/jobs/researc...
ACH 2026 is virtual, bilingual & open to all! Explore transnationalism & solidarity in the Americas with our DH community. No travel required—join us from anywhere June 24-26. Submit by Feb 2!
buff.ly/O7y3KaD
Figs 6a and 6b from https://royalsocietypublishing.org/rspb/article/292/2040/20242033/104775/Does-literature-evolve-one-funeral-at-a-time-Does Decomposed trendlines that illustrate two scenarios, earlier demonstrated with simulations (figure 3). (a) A topic of war, coinciding with the First World War. It is a clear example of a change associated with an abrupt external event, when authors of various age cohorts stopped writing whatever they were writing before and began writing about this, most pressing, issue. As expected, the surge around the war is associated with the positive effect of individual change. (b) A topic of the Wild West, strongly associated with frontier fiction. This topic is driven by a cohort effect: its growth is associated with the entrance of many new authors (thus, positive entrance effect), and the decline coincides with the retirement of authors (negative exit effect). So, the topic was mostly used by a particular generation of writers and ceased existing when this generation retired.
Since I've been grumpy about distant-reading of lyrics, let me share this spectacular figure from Sobchuk & Beheim 2025, which traces two themes in Eng fiction 1850-1940, and decomposes change to new-authors, author-exits, and individual-change. Real progress in our understanding here.
