How does Latin NLP work?
- Tokenization. Tokenization divides Latin text into individual words or tokens, which allows for further processing and analysis of the language structure.
- Morphological Analysis. This method analyzes the structure of Latin words, identifying their root forms and grammatical features such as tense, mood, and case.
- Part-of-Speech Tagging. Part-of-speech tagging assigns grammatical labels to each token in the Latin text, helping to understand the syntactical relationships between words.
- Named Entity Recognition. Named entity recognition identifies and classifies proper nouns in Latin text, such as names of people, places, and organizations.