diyclassics/la_core_web_lg
spaCy-compatible sm/md/lg/trf core models for Latin, i.e pipeline with POS tagger, morphologizer, lemmatizer, dependency parser, and NER
This project provides pre-trained language models for Latin text, allowing you to automatically process and understand ancient texts. It takes raw Latin text as input and outputs annotations like parts of speech, morphological features, lemmas (base forms of words), grammatical dependencies between words, and recognized named entities (people, places, organizations). This tool is designed for scholars, classicists, and linguists working with Latin documents who need to perform detailed linguistic analysis.
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Use this if you are a classicist, linguist, or researcher who needs to automatically analyze and extract detailed linguistic information from Latin texts, such as identifying parts of speech or proper nouns.
Not ideal if you are looking for a simple translation tool or a general natural language processing solution for modern languages.
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MIT
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Last pushed
Aug 26, 2025
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