What are the main challenges in tokenization?

What are the main challenges in tokenization?

Tokenization involves breaking down text into smaller units, and it faces challenges like ambiguity, context, and language diversity.

Can you explain how ambiguity affects tokenization?

Ambiguity arises when a word has multiple meanings or forms, making it difficult to determine the correct tokenization.

What about context? How does it play a role?

Context is crucial as it helps in understanding the intended meaning of words, which can change based on surrounding text.

Are there specific languages that are more challenging for tokenization?

Yes, languages like Chinese and Japanese are more challenging due to their lack of spaces between words, requiring more complex tokenization methods.

What solutions exist to overcome these challenges?

Solutions include using machine learning models, context-aware algorithms, and language-specific tokenization techniques.