What tools are commonly used for tokenization in natural language processing?
There are several tools used for tokenization, including NLTK, SpaCy, and the Hugging Face Transformers library.
Can you explain how NLTK performs tokenization?
NLTK uses various tokenizers, such as word_tokenize and sent_tokenize, which split text into words and sentences respectively.
Are there any specific advantages of using SpaCy for tokenization?
Yes, SpaCy is known for its speed and efficiency, and it also provides pre-trained models for better accuracy in tokenization.
What about tokenization in languages other than English?
Many of these tools, like SpaCy and NLTK, support multiple languages and have specific tokenizers designed for different linguistic rules.
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