Todd Cook @LibraryServDir
Software craftsman, modern outdoorsman, language enthusiast at https://t.co/CIoOwQtTl6 and https://t.co/zKc5YnUFGz readgerman.com Burlingame, CA Joined October 2015-
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I'm honored to be published in this edition of the journal. Exciting times ahead! Challenge yourself and come help build bridges between ML and the Digital Humanities.
New issue of Ciceroniana On Line Vol. 5 No. 2 (2021): “Cicero digitalis” Congress Proceedings edited by @AliceBorgna and Mélanie Lucciano ojs.unito.it/index.php/COL/… #openaccess @araschieri
Todd Cook @LibraryServDir presented a work in progress in the domain of #MLOps applied to CLTK. The developed tools will help maintain and reproduce research made for the pre-modern language processing. docs.google.com/presentation/d…
Read what the #CLTK maintainers presented to the Digital Classicist Berlin program of the Berlin-Brandenburgische Akademie der Wissenschaften @bbaw_de: cltk.org/blog/2021/12/1….
The (actual) number of Ancient Greek part-of-speech taggins in Wiktionary is close to 600,000, most of them belonging to the paradigms of c. 13,200 lemmas. They make about 330,000 pairs of lemmata-word form-POStag. A translation is given for most lemmata @LogeionGkLat @CLTKorg
We are pleased to announce the official release of #CLTK whitepaper for #ACL2021NLP ! aclanthology.org/2021.acl-demo.…
We are proud to announce that our paper "The Classical Language Toolkit: An NLP Framework for Pre-Modern Languages" got accepted for #ACL2021NLP 2021.aclweb.org/program/demoac…
For those of you interested in #BERT and #MultilingualDH and #NLP, I'd recommend Todd Cook's (@LibraryServDir) recent talk at Cicero Digitalis where he speaks about BERT and its applications to Latin. It is the first talk in this video. Video: youtu.be/tJwmXZHZ924
@allenholub The problem of self deception. Often caused by a lack of self reflection.
Google Search dramatically changed course when they adopted BERT: find out why, how it works, and how you can use BERT to build a strategic business advantage in your own search efforts. towardsdatascience.com/how-bert-deter… #BERT
@allenholub @basecamp I’m seeing no viable open source/ DRM free option, right?
@fhuszar Takes a lot of balls to go with this logo.
@Litotes_Magotes Persona carissima mihi
@DrJEBall What is the actual transcription? I don't read inscriptions everyday. Thanks in advance.
@fchollet Here, the hashing trick is effective; elsewhere it is being commonly used for word embeddings to disastrous effect, e.g. see towardsdatascience.com/the-hidden-cos… (pardon the self reference).
Glad to be part of the solution.
New issue of Ciceroniana On Line Vol. 5 No. 2 (2021): “Cicero digitalis” Congress Proceedings edited by @AliceBorgna and Mélanie Lucciano ojs.unito.it/index.php/COL/… #openaccess @araschieri
"English NLP, and non-English NLP applications in particular, can often gain up to a 10% boost in classifier accuracy by upgrading to high-quality word embeddings." #BenderRule Just published in @TDataScience The Hidden Costs of Low Quality Word Embeddings towardsdatascience.com/the-hidden-cos…
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