Python uses Pattern syntax analysis to analyze the grammatical structure of text

Firstly, you need to install the Pattern module in Python, which can be installed using the following command: pip install pattern The Pattern module relies on NLTK (Natural Language Toolkit), so you also need to install NLTK using the following command: pip install nltk Next, you need to download the corpus used in the Pattern module. We are using the Penn Treebank corpus, which can be downloaded using the following code: python import nltk nltk.download('punkt') nltk.download('averaged_perceptron_tagger') nltk.download('tagsets') nltk.download('universal_tagset') nltk.download('maxent_ne_chunker') nltk.download('words') nltk.download('maxent_treebank_pos_tagger') Now you can start using Pattern for syntax analysis. The following is a complete example, where we will use Pattern to parse a paragraph of text and output its grammatical structure: python from pattern.en import parsetree text = "The quick brown fox jumps over the lazy dog." tree = parsetree(text) for sentence in tree: for chunk in sentence.chunks: print(chunk.type, [word.string for word in chunk.words]) Running the above code will output the following results: NP ['The', 'quick', 'brown', 'fox'] VP ['jumps'] PP ['over'] NP ['the', 'lazy', 'dog'] The above code uses Pattern's' parsetree 'function to perform syntactic analysis on the given text and traverse the sentences and blocks of the parse tree. For each block, we output its type and the words it contains. It should be noted that the syntax analysis function of Pattern is only applicable to English text. For more information on the usage and functionality of Pattern, please refer to the official documentation: https://www.clips.uantwerpen.be/pattern