README.md

metadata

title: Latincy Dashboard
emoji: 🌍
colorFrom: yellow
colorTo: blue
sdk: streamlit
sdk_version: 1.45.1
app_file: app.py
pinned: false
license: mit

LatinCy Dashboard

Streamlit dashboard for exploring features of the LatinCy models (la_core_web_lg, la_core_web_md, la_core_web_sm v3.8.0).

View dashboard here

Demos

• Parsing — UD/CoNLL-U column output (form, lemma, UPOS, XPOS, feats, head, deprel) with TSV export
• Custom Labels — Visualize tokens covered by the DCC Core Latin Vocabulary
• Sentence Segmentation — Segment paragraphs into sentences with text export
• Named Entity Recognition — Highlight people, places, and groups (PER, LOC, NORP)
• Dependency Trees — Visualize grammatical structure with displaCy
• Word Similarity — Explore floret subword vector similarity between Latin words
• Morphology — Analyze lemma, POS, case, gender, tense, mood, and more per token

Setup

pip install -r requirements.txt
streamlit run app.py

Written by diyclassics. April 2023, updated February 2026.