Is There a Library for Cleaning Data before Tokenization? Meet the Unstructured Library for Seamless Pre-Tokenization Cleaning

In Natural Language Processing (NLP) tasks, data cleaning is an essential step before tokenization, particularly when working with text data that contains unusual word separations such as underscores, slashes, or other symbols in place of spaces. Since common tokenizers frequently rely on spaces to split text into distinct tokens, this problem can have a major […]

The post Is There a Library for Cleaning Data before Tokenization? Meet the Unstructured Library for Seamless Pre-Tokenization Cleaning appeared first on MarkTechPost.

ai shorts applications artificial intelligence cleaning data data cleaning editors pick language language processing library natural natural language natural language processing nlp processing spaces staff tasks tech news technology text tokenization unstructured word