How does Yiddish NLP work?
- Tokenization. This method involves breaking down Yiddish text into smaller units, such as words or phrases, to simplify analysis and processing.
- Part-of-speech Tagging. This technique assigns parts of speech to each word in Yiddish text, facilitating understanding of grammar and sentence structure.
- Named Entity Recognition. This involves identifying and classifying key entities such as names, places, and dates within Yiddish text to enhance information extraction.
- Machine Translation. This method enables the automatic translation of Yiddish text to other languages and vice versa, improving accessibility and communication.