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#computationallinguistics

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As long as you...

(1) host and run it yourself,
(2) it's open source,
(3) it's not trained on art or personal data,
(4) it's not constantly re-trained at extreme energy costs to be "up to date",
(5) it's not advertised as an information source, therapy, search engine, artificial intelligence or anything else it's not,

there's literally no ethical issue in #LLM. It's just a mathematical language model.

I wonder how #hashtags would have been developed differently if they had been invented and popularised by people speaking a #language with strongly marked cases.

If I post 'Sauce mit Pilzen' (German for 'sauce with mushrooms'), and I would like to tag the mushrooms, I can't just go '#Pilzen', because '#Pilzen' is a different hashtag from '#Pilze'. Let alone #Pilzes and #Pilz.

Would we tag things with #SemanticWeb URIs?
#hashtag #tech #compling #computationallinguistics #l10n #i18n #linguistics

Call for Abstracts: Digital Connections 2025

The Doctoral Programme in Digital Humanities at the Universities of Genoa and Turin invites abstracts for the interdisciplinary conference Digital Connections: A Dialogue around Languages, Arts, Cultures, and Technologies, which will be held on June 26-27, 2025, at the University of Genoa.

Deadline: March 10, 2025

#DigitalHumanities #AI #ComputationalLinguistics #CulturalHeritage #EdTech
digitalhumanities.phd.unige.it

digitalhumanities.phd.unige.itDoctoral Symposium 2025 | Digital Humanities PhD

Nice example of how important emphasis can be for language understanding. Depending on which word in the sentence below is emphasized, it completely changes its meaning.
For #LLMs (and for our #ise2024 lecture) this means that learning to understand language purely from written text is probably not an "easy" task....

Picture from Brian Sacash, via LinkedIn, cf. linkedin.com/feed/update/urn:l

#nlp #languagemodel #computationallinguistics @sourisnumerique @enorouzi @shufan @lysander07

"This study is the first attempt to apply the masked language modeling approach to corrupted inscriptions in Hebrew and Aramaic languages, both using the Hebrew alphabet consisting mostly of consonant symbols. In our experiments, we evaluate several transformer-based models, which are fine-tuned on the Biblical texts and tested on three different percentages of randomly masked parts in the testing corpus."

Niv Fono, Harel Moshayof, Eldar Karol, Itai Assraf, and Mark Last. 2024. Embible: Reconstruction of Ancient Hebrew and Aramaic Texts Using Transformers. In Findings of the Association for Computational Linguistics: EACL 2024, pages 846–852, St. Julian’s, Malta. Association for Computational Linguistics.

aclanthology.org/2024.findings

#ComputationalLinguistics #Linguistics #Ancient #Hebrew #Aramaic #Language #Languages @linguistics

ACL AnthologyEmbible: Reconstruction of Ancient Hebrew and Aramaic Texts Using TransformersNiv Fono, Harel Moshayof, Eldar Karol, Itai Assraf, Mark Last. Findings of the Association for Computational Linguistics: EACL 2024. 2024.