How does Kyrgyz NLP work?
- Tokenization. This method involves splitting text into individual words or tokens, allowing for easier processing of the language.
- Named Entity Recognition (NER). NER identifies and categorizes key elements in the text, such as names of people, organizations, and locations.
- Sentiment Analysis. This technique assesses the emotional tone behind a series of words, useful for understanding public opinion in Kyrgyz text.
- Machine Translation. This method translates text from Kyrgyz to other languages and vice versa, enabling better communication across language barriers.