How does Uyghur NLP work?
- Tokenization. Tokenization is the process of breaking down text into smaller units, such as words and sentences, which is essential for understanding the structure of the language.
- Named Entity Recognition (NER). NER involves identifying and categorizing key entities in the text, such as names, organizations, and locations, into predefined categories.
- Sentiment Analysis. Sentiment analysis analyzes text to determine the emotional tone behind it, helping to understand the sentiment of users in conversations or online feedback.
- Machine Translation. Machine translation refers to the automatic conversion of text from one language to another, enabling communication across languages, in this case, to and from the Uyghur language.