Patrick J. Burns

@diyclassics

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Ist das dein Profil?Übernimm es — dann gehört dir diyclassics.dirty.social.Profil übernehmen

Patrick J. Burns@diyclassics· 17d

Here is a screenshot with one example of possible output from the repo's demo notebook: github.com/latincy/lati....

Code to produce a formatted vocabulary list for a Latin passage using latincy-vocab

Patrick J. Burns@diyclassics· 18d

🚀 New release 🚀 latincy-vocab v0.1.0 Build well-formatted Latin vocabulary lists from plaintext github.com/latincy/lati... #digiclass #teachlatin

Patrick J. Burns@diyclassics· Jul 10

✨Version bump✨ latincy-lexicon v0.9.0 Whitaker's Words as LatinCy component Improved handling of archaic & rare forms in both lookups and paradigms, fixes to irregular verbs, better future tense handling, beta Lewis & Short integration, etc. github.com/latincy/lati...

Patrick J. Burns@diyclassics· Jul 9

✨Version bump✨ txtdown v0.3.1 Minimal markup for Latin text collections Improved document validation; improved quotation handling; hierarchy-aware citations github.com/diyclassics/...

Patrick J. Burns@diyclassics· Apr 14

We can also "reinflect" Latin forms based on existing contextual morph annotations, e.g.

Code to generate "reinflected" forms on Latin words in context with LatinCy Lexicon

Patrick J. Burns@diyclassics· Apr 14

Not only can we start using LatinCy annotations to disambiguate words, we can also use the WW word formation logic to generate paradigms for spaCy tokens...

Code to generate all forms of the Latin verb `amo` in the present indicative active from a single form.

Patrick J. Burns@diyclassics· Apr 14

Announcing—LatinCy Lexicon v0.1, a refactored version of Whitaker's Words that uses LatinCy annotations to disambiguate words/meanings. Can be added as a custom component to any LatinCy pipeline. github.com/latincy/lati... #digiclass #nlproc

Patrick J. Burns@diyclassics· Mar 26

✨ LatinCy v3.9 sm/md/lg/trf pipelines for SpaCy available ✨ - Improved tokenization and u/v norm - New custom Latin-specific XPOS tags - Better, more consistent lemma/morph coverage huggingface.co/latincy/la_c... #digiclass #nlproc

"Album" cover for the LatinCy v3.9 pipelines with "catus" from Gesner's 1551 Historia Animalium

Patrick J. Burns@diyclassics· Mar 12

Attending the »AI & the Study of Antiquity« conference @ Rutgers University today and tomorrow...

Program for AI & the Study of Antiquity at Rutgers March 12 & 13, 2026

Patrick J. Burns@diyclassics· Mar 6

Wanted an easier way to preview CONLLU files in vscode, couldn't find one, worked up my own...

Side-by-side conllu file in plaintext vs. formatted preview on an example sentence

Patrick J. Burns@diyclassics· Feb 26

Model drop! Some (beta!) LatinCy releases ahead of Friday's dev meeting/"birthday" party, trained on same data as spaCy models… - LatinCy Stanza huggingface.co/latincy/la_s... - LatinCy UDPipe huggingface.co/latincy/la_u... - LatinCy Flair huggingface.co/latincy/la_f... #nlproc #digiclass

Comparative metrics for different LatinCy models—spaCy but also Stanza, Flair, UDPipe

Patrick J. Burns@diyclassics· Feb 25

Super-experimental at this point—but I am now embedding a local LLM inside Prodigy to assist with NER annotations... 1. Using `correct` recipe, LatinCy model tags likely entities 2. Optional "Ask LLM" button queries Mistral based on text/tags 3. Add'l RAG runs over the project's NER guidelines

Prodigy interface for LatinCy NER annotations... here Ov. Met. 2.5 and a PERSON label assigned to Mulciber

Prodigy interface for LatinCy NER annotations... here Ov. Met. 2.5 and a PERSON label assigned to Mulciber; "Ask LLM" button queries an "NER Assistant" and provides more context

Patrick J. Burns@diyclassics· Feb 23

Ever have a lot of all-u Latin text, ever need a superfast way to replace only the consonants, i.e. uerbum → verbum... new feature in latincy-preprocess v0.1... github.com/diyclassics/... #nlproc #digiclass

Python code for using latincy-preprocess to change u → v in Latin text, e.g. uerbum → verbum

Patrick J. Burns@diyclassics· Feb 23

Ever have like a million long-s errors in your Latin OCR, ever need a superfast way to correct them against a Latin character ngram model... new feature in latincy-preprocess v0.1... github.com/diyclassics/... #nlproc #digiclass #digiclafs

Python code demonstrating long-s correction using latincy-preprocess, e.g. "funt in fundamento reipublicae ftatua" → "sunt in fundamento reipublicae statua"

Patrick J. Burns@diyclassics· Feb 13

Trying to figure out how to offer new ways to work with the collections... Here is an example of combined Latin/Greek search in a single call. Uses regex for now—working on memory managment/speeding up the annotations for true lemma search etc.... github.com/diyclassics/...

LatinCy readers using both Latin and Greek corpus readers showing regex search for Latin and Greek versions of "Caesar"

Patrick J. Burns@diyclassics· Feb 10

I can add that LatinCy Reader pattern matching is (as shown here) flexible enough to take agreement into account—of course, assuming accuracy of the tagger & morpher; updated notebook here github.com/diyclassics/...

LatinCy annotations used to for noun-adjective agreement in Caesar (e.g. magnis itineribus, magnam partem).

Patrick J. Burns@diyclassics· Feb 9

Such an important point and really working on it these days—between higher visibility for different parts of the project, better documentation, more demos, etc. One example I can point to now is trying to make small single-use dashboards to show certain features... latincy.streamlit.app/~/+/

Streamlit dashboard demo of LatinCy Text Analyzer with sentence annotations from Seneca's Epistulae Morales

Patrick J. Burns@diyclassics· Feb 9

Searching for any form of "magnus" followed by any noun—just one example of flexible pattern matching possible with LatinCy Readers `find_sents` call... from this demo notebook: github.com/diyclassics/...

Demo of LatinCy Readers `find_sents` method; returns five examples of 'magnus' + NOUN in a Latin text collection.

Patrick J. Burns@diyclassics· Feb 5

Program announced & RSVPs open for the LatinCy Developers/Users Meeting on Feb. 27, 2026, a remote event via @isawlibrary.bsky.social Registration link at diyclassics.github.io/latincy2026/ #digiclass #nlproc

Patrick J. Burns@diyclassics· Feb 2

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

Patrick J. Burns@diyclassics· Jan 8

Stop by the ISAW Monographs / NYU Press table in the #AIASCS Book Exhibit—let’s talk about texts, archaeology, art history, and material culture inter alia isaw.nyu.edu/publications...

Patrick Burns standing with the ISAW Monographs book table

Recent publications from the ISAW Monographs series

Patrick J. Burns@diyclassics· Jan 7

Headed to SF for #AIASCS — presenting Saturday morning (10 Jan. @ 8am, DCA panel) on the Latin content of LLM training data repos, massive-scale philology, and classics-comp sci collaboration w. D. Bamman, C. Brooks, M. Hudspeth & B. O’Connor #digiclass #nlproc

Title slide from SCS 2026 talk called “Recovering 34 Billion Latin Words from AI Training Data”

Patrick J. Burns@diyclassics· Dec 15

Reminder that we are hosting the first LatinCy Developers/Users Meeting this February (and it's also a third "birthday" for the pipelines!)...

Graphic that read "la [birthday cake emoji] 3"

Patrick J. Burns@diyclassics· Dec 15

Have a chapter on "quantitative dialogism" in this open-access Brill volume on »Direct Speech in Greek and Latin Epic« brill.com/display/book...

Patrick J. Burns@diyclassics· Jul 16

Presenting at #ianls25 on… “Neo-Latin as a Pragmatic Source of Language Model Training Data” This morning (16 Jul) @ 10:30am, Egger 011

Program contents for IANLS DIGITAL TECHNOLOGY IV Special Session Chair: Carolin A. Giere
10.00 am - 10.30 am GRABSKA-GRADZINSKA Iwona and WIATER Mateusz "Neolatina Sarmatica - How Programming Languages can Revive Interest in Latin Texts"
10.30 am - 11.00 am BURNS Patrick "Neo-Latin as a Pragmatic Source of Language Model Training Data"
11.00 am - 11.30 am CECCHINI Flavio Massimiliano "The Tongueprint: Assessing and Quantifying Bilingualism in Renaissance Neo-Latin Texts"

Patrick J. Burns@diyclassics· Feb 19

Giving a talk tomorrow (Th. 2/20 @ 4:30pm Eastern) at U. Cincinnati’s Taft Center called “The Digital Afterlife of a Dead Language: Or Recovering 34 Billion(!) Latin Words from AI Training Data”. Talk will be over Zoom as well—link to follow. There will be unicorns! diyclassics.github.io/afterlife/

Woodcut of a unicorn from Gesner’s Historiae Animalium

Patrick J. Burns@diyclassics· Jan 4

Talking about LLM prompts and Latin teaching/research on this morning’s DCA panel at 8am (Sat. 1/4) in Salon K/Hybrid #aiascs #scs40

8:00am-
10:30am, Salon K
(Hybrid)
SCS-40: HYBRID: Opening
Up Classics with Al (organized by the Digital
Classics Association)
Neil Coffee, University at Buffalo, SUNY, Organizer
1. Neil Coffee, University at
Buffalo, SUNY
Introduction
2. Samuel Huskey, University of Oklahoma Opening Up Bottlenecks in Digital Classics
Workflows with Human-in-the-Loop Al
3. Patrick Burns, New York
University
Prompt Engineering for
Latin Teachers

4. Edward Ross, University of Reading, and Jackie Baines, University of Reading
Generative Image Al and Teaching Classics: A Case of Exaggeration
5. Gregory Crane, Tufts
University
Al, Machine Actionable
Publication and
Assigning Credit
6. Joseph Dexter, Harvard University, and Pramit Chaudhuri, University of Texas at Austin Benchmarking
Generative Al Models for
Classical Literary
Criticism

Patrick J. Burns@diyclassics· Jun 3

New article in NECJ on the relationship between computational chat and active Latin: crossworks.holycross.edu/necj/vol51/i...

Abstract for "(Re)active Latin" article in new issue of NECJ

Patrick J. Burns@diyclassics· Aug 8

Introducing LatinCy... Trained spaCy pipelines for Latin NLP... 📦Models: huggingface.co/latincy 🌌Universe: https://spacy.io/universe/project/latincy 📝Preprint: arxiv.org/abs/2305.04365 #NLProc #DigiClass