a model called wordninja
时间: 2024-05-05 21:16:24 浏览: 10
WordNinja is a Python library that provides functions for splitting words, especially those without spaces between them, into separate words. This is useful in natural language processing (NLP) tasks where text needs to be analyzed, tokenized, or classified.
WordNinja uses a statistical language model to determine the most likely word breaks in a given string of text. It works by analyzing the frequency of letter combinations and word sequences in a large corpus of text, and using this information to make predictions about the most likely word boundaries in new text.
The library is easy to use and can be installed using pip. Once installed, users can import the library and use the `split` function to split words into separate words:
```
import wordninja
word = "thisisatestsentence"
split_words = wordninja.split(word)
print(split_words)
# Output: ['this', 'is', 'a', 'test', 'sentence']
```
WordNinja can also be used with other NLP tools and libraries such as NLTK, spaCy, and scikit-learn.
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