@Prompsit

We speak Natural Language Processing, Data Analysis and Artificial Intelligence, among many other languages!

prompsit.com
Joined June 2011
  • Tweets2.8K
  • Following406
  • Followers582
538Media
Prompsit retweeted
OpenEuroLLM@OpenEuroLLMJun 9
Wrapping up our 3rd general meeting, hosted by @AISweden in sunny Stockholm ☀️ A full room makes the final decisions before training the first OpenEuroLLM model. Sharing updates, ideas, and future plans. Two more days of tight collaboration. Full speed mode. 🚀 #goOpenEuroLLM
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Prompsit retweeted
HPLT@hplt_eu6 Nov 2025
Describing HPLT datasets in depth is an essential part of our commitment as data curators: 🆕HPLT 3.0: Very Large-Scale Multilingual Resources for LLM and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models: arxiv.org/abs/2511.01066 We are on🔥at #HPLT

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT....

We present an ongoing initiative to provide open, very large, high-quality, and richly annotated textual datasets for almost 200 languages. At 30 trillion tokens, this is likely the largest...

arxiv.org
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Prompsit retweeted
HPLT@hplt_eu5 Nov 2025
The #HPLT crowd is at #EMNLP2025!!! If you are around, please visit our booth to discuss: - multilingual datasets 🌏 - dataset insights and stats 📊 - dataset performance 🔝 - efficient MT models ⏱️ - and the future of multilingual LLMs 💡 We don't want to miss U!
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Prompsit retweeted
HPLT@hplt_eu28 Feb 2025
We are happy to announce the second release of HPLT bilingual datasets: - 50 English-centric language pairs = 380M parallel sentences (HPLT) 🤩 - 1,275 non-English-centric language pairs = 16.7B parallel sentences (MultiHPLT) 😮 Available at the HPLT dataset catalogue and OPUS.
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Prompsit retweeted
Slator
@slatornews3 Apr 2024
By harnessing web crawls 🕸️ from Internet Archive and CommonCrawl, researchers 🔎 from @EdinburghUni, @helsinkiuni, @UniOslo, @UniTurku, and @Prompsit unveil new #language resources aimed at enhancing language modeling and #MT training. slator.ch/MassiveMultilingua… @OnadeGibert @graemenail @shaoxiongji @oepen @TiedemannJoerg @ltgoslo

Here’s a ‘Brand-New’ Massive Multilingual Dataset for Machine Translation

Researchers harness web crawls from Internet Archive and CommonCrawl to release new language resources.

slator.com
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Happy to share our latest MaCoCu paper, accepted at #LRECCOLING2024 @LrecColing #NLProc 🎉 We have linguists annotate the data *quality* of 4 well-known monolingual corpora (OSCAR, CC100, mC4 and MaCoCu) across 11 European low-resource languages. Link: arxiv.org/pdf/2403.08693.pdf
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➡️ La empresa del #ParqueCientífico de la @UniversidadMH, @Prompsit, colabora en un proyecto europeo sobre tecnologías del lenguaje de alto rendimiento con el objetivo de crear diferentes modelos de lenguaje y traducciones potentes. Noticia completa 📌: parquecientificoumh.es/notic…
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Prompsit retweeted
HPLT@hplt_eu1 Mar 2024
First datasets, then models! Initial HPLT models (LLMs and MT) are out: hplt-project.org/models, some still running 🏃 We explain what we are doing in the deliverables section: hplt-project.org/deliverable… Meanwhile, we keep cooking IA peta-data-bytes 🥘, enriching, dashboarding 📊
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HPLT@hplt_eu7 Dec 2023
We just published version 1.2 of HPLT datasets. What's new? - we fixed a bug in monolingual dedup, please redownload! 🛠️ - we filtered out very ugly monolingual documents🤮 - we anonymised the bilingual datasets🕵️‍♀️ hplt-project.org/datasets/v1…

HPLT - High Performance Language Technologies

A space that combines petabytes of natural language data with large-scale model training

hplt-project.org
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We are excited to share with you that we now provide 4 more massive monolingual corpora for under-resourced languages: you can access Icelandic, Ukrainian, Catalan and Greek #MaCoCu web corpora for free from the CLARIN.SI repository 😃
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#MaCoCu crew is in Groningen these days! Walking towards great results of MaCoCu corpora evaluation and new MaCoCu language models for under-resourced languages 😁
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Prompsit retweeted
HPLT@hplt_eu10 May 2023
Next June, 17th-25th, the #HPLT consortium will held a #hackathon around a set of topics related to corpora curation in Prague. Interested? Drop us a line and join! hplt-project.org/hackathon20…

HPLT - High Performance Language Technologies

A space that combines petabytes of natural language data with large-scale model training

hplt-project.org
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Prompsit retweeted
HPLT@hplt_eu7 May 2023
Interested in Open and Community-Driven MT initiatives? CrowdMT is for you! 🎙️Invited speakers from Wikimedia Foundation and Apertium announced. 📜Accepted papers and abstracts announced. Time to register at events.tuni.fi/eamt23/regist… Details: hplt-project.org/events

Registration | The 24th Annual Conference of The European Association for Machine Translation |...

events.tuni.fi
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We've published new #MaCoCu web corpora for 11 under-resourced languages! 56 million documents, 17 BILLION words (monolingual corpora) and 580 million words (English-X parallel corpora) were just uploaded to the CLARIN.SI repository (clarin.si/repository/xmlui/d…) 🥳
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¡Hoy celebramos el #15aniversarioPCUMH con nuestras empresas y emprendedores! 🥳
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Prompsit retweeted
HPLT@hplt_eu22 Feb 2023
Big #HPLT news🥳: GPT3 for Finnish is out by our colleagues from Turku!! Special thanks to the National Library of Finland for contributing invaluable training and to CSC – IT Center for Science, Finland for generous computational resources: turkunlp.org/gpt3-finnish @DataEcoEU
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Prompsit retweeted
HPLT@hplt_eu13 Feb 2023
After a great 2nd physical meeting of the #hplt project in Oslo❄️ we have some highlights to share: 🤩 OPUS includes now ELRC and mtdata 🧐 1PB of new web data is ready to be processed 🦾 Ready to work on LUMI (AMD) 😻 LLM/MT models completed for fi/no and cs-uk @DataEcoEU
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A new ParaCrawl parallel corpus is available! 🌍 languages: Polish-Czech 🎒 size: 24 million sentences 🗒️ license: CC0 🎯 location: paracrawl.eu bonus section 🧐 more info: paracrawl.eu/moredata
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Replying to @MultiNmt
@MultiNmt intensive course on neural machine translation kicks off with Dorothy Kenny introducing human and machine translation.
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😬 We are very proud to have #translation tools which you may combine with your own #translationengines! 🤓 After all, #machinetranslation learning does require getting used to such tools on your own! 👥 Well, not exactly on your own - we can help you! youtube.com/watch?v=xzWVNWak…
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