tokenizer

we used a fast tokenizer for efficient text processing.

the tokenizer splits the text into individual tokens.

a subword tokenizer handles rare words effectively.

the character tokenizer is simple but less effective.

we need a robust tokenizer for our nlp pipeline.

the sentence tokenizer separates sentences accurately.

the word tokenizer is a common starting point.

we compared different tokenizers for optimal performance.

the tokenizer’s output is used for feature extraction.

regular expressions can be used to define a custom tokenizer.