Python uses NLTK to analyze the grammatical structure of text

Preparation work: 1. Install Python: Ensure that Python has been successfully installed in the runtime environment. It is recommended to install Python version 3. 2. Install NLTK library: Open a terminal or command prompt and run the following command to install: python pip install nltk Dependent class libraries: 1. 'nltk': Python library for Natural language processing. Dataset introduction: In the NLTK library, some sample datasets are provided for learning and development purposes. Among them, we use the 'nltk. corpus. treebank' dataset as an example dataset. Implementation example: The following is an example code for analyzing the syntax structure of text using the NLTK library: python import nltk from nltk.corpus import treebank #Download the treebank dataset nltk.download('treebank') #Obtain sample sentences from the dataset sentences = treebank.sents()[:10] #Creating a grammar parser parser = nltk.ChartParser(nltk.data.load('grammars/large_grammars/atis.cfg')) #Grammatically parse each sentence for sentence in sentences: for tree in parser.parse(sentence): print(tree) In the above code, we first downloaded and loaded the 'treebank' dataset through 'nltk. corpus. treebank'. Then, we obtained the first 10 sentences from the dataset as sample data. Next, we created a grammar parser using 'nltk. ChartParser' and loaded a pre trained grammar model. Finally, we perform grammar parsing on each sentence and print a grammar tree of the parsing results. The complete source code can be found in the 'examples' directory of NLTK's GitHub repository and in the' treebank 'directory_ Found in the 'charts. py' file: [treebank_charts. py source code]（ https://github.com/nltk/nltk/blob/develop/nltk/examples/treebank_charts.py ）