by vigneshchennai74 Updated: Jan 31, 2023
Hyphenated words have a hyphen (-) between two or more parts of the word. These parts of the word are often used to join commonly used words. โฏ
Tokenization is breaking down a piece of text into smaller units called tokens. Tokens are the basic building blocks of a text, and they can be words, phrases, sentences, or even individual characters, depending on the task and the granularity level required. The tokenization of hyphenated words can be tricky, as the hyphen can indicate different things depending on the context and the language. There are various ways to handle hyphenated words during tokenization, and the best method will depend on the specific task and the desired level of granularity.โฏ
You may have a look at the code below for more information about Tokenization of hyphenated words.
Preview of the output that you will get on running this code from your IDE
In this solution we have used Tokenizer function of NLTK.
I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.
I found this code snippet by searching for "Tokenization of Hyphenated Words" in kandi. You can try any such use case!
๏ปฟNote
In this snippet we are using a Language model (en_core_web_sm)
Check the user's spacy version using pip show spacy command in users terminal.
I tested this solution in the following versions. Be mindful of changes when working with other versions.
Using this solution, we are able to Tokenize the Hyphenated words in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us Tokenize the words in Python.
Python 25129 Version:3.4.4
Python 25129 Version:3.4.4 License: Permissive (MIT)
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