tähemärktokeniseerija
A tähemärktokeniseerija, which translates to "character tokenizer" in English, is a fundamental component in natural language processing (NLP) and computer science. Its primary function is to break down a given text into its smallest constituent units: individual characters. Unlike word tokenizers that separate text into words or sub-word units, a character tokenizer treats every character, including letters, numbers, punctuation, and whitespace, as a distinct token.
This granular level of processing is particularly useful in scenarios where the precise sequence and presence
While simple to implement, character tokenization can lead to very long sequences, which can pose challenges