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https://www.php.net/manual/en/book.tokenizer.php
Human Language and Character Encoding Support Image Processing and Generation Mail Related Extensions Mathematical Extensions Non-Text MIME Output Process Control Extensions Other Basic Extensions Other Services Search Engine Extensions Server Specific Extensions Session Extensions Text Processing Variable and Type Related Extensions Web Services
http://nlp.stanford.edu/software/tokenizer.html
A tokenizer divides text into a sequence of tokens, which roughly correspond to "words". We provide a class suitable for tokenization of English, called PTBTokenizer.
https://www.mathworks.com/help/textanalytics/ref/tokenizeddocument.html
'unicode' – Tokenize input text using rules based on Unicode ® Standard Annex #29 and the ICU tokenizer . If str is a cell array, then the elements of str must be string scalars or character vectors.erasePunctuation: Erase punctuation from text and documents
https://github.com/huggingface/tokenizers/tree/master/bindings/python
Jan 22, 2020 · Train new vocabularies and tokenize using 4 pre-made tokenizers (Bert WordPiece and the 3 most common BPE versions). Extremely fast (both training and tokenization), thanks to the Rust implementation. Takes less than 20 seconds to tokenize a GB of text on a server's CPU.
https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-tokenizers.html
The keyword tokenizer is a “noop” tokenizer that accepts whatever text it is given and outputs the exact same text as a single term. It can be combined with token filters like …
https://docs.python.org/3/library/tokenize.html
The tokenize module provides a lexical scanner for Python source code, implemented in Python. The scanner in this module returns comments as tokens as well, making it useful for implementing “pretty-printers,” including colorizers for on-screen displays.
https://docs.oracle.com/javase/7/docs/api/java/util/StringTokenizer.html
StringTokenizer is a legacy class that is retained for compatibility reasons although its use is discouraged in new code. It is recommended that anyone seeking this functionality use the split method of String or the java.util.regex package instead.
https://en.wikipedia.org/wiki/Tokenization_%28lexical_analysis%29
Apache OpenNLP includes rule based and statistical tokenizers which support many languages; U-Tokenizer is an API over HTTP that can cut Mandarin and Japanese sentences at word boundary. English is supported as well.
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