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What is the purpose of the spacy.load("en_core_web_sm") line in the Python code provided?
What is the purpose of the spacy.load("en_core_web_sm") line in the Python code provided?
- To import the necessary packages for natural language processing.
- To load a small English language model for natural language processing. (correct)
- To define a function that performs part-of-speech tagging.
- To create a new instance of a spacy model.
The function pos_tagging() uses the loaded language model to identify the grammatical function of each word in the input text.
The function pos_tagging() uses the loaded language model to identify the grammatical function of each word in the input text.
True (A)
What is the difference between 'Coarse-Grained POS' and 'Fine-Grained POS' in the provided output?
What is the difference between 'Coarse-Grained POS' and 'Fine-Grained POS' in the provided output?
Coarse-Grained POS provides a general category of the word's function (e.g., noun, verb, adjective), while Fine-Grained POS offers a more specific label indicating the word's specific grammatical role (e.g., singular noun, present tense verb, comparative adjective).
In the provided code, the variable ______ stores the text that will be analyzed for its part-of-speech tags.
In the provided code, the variable ______ stores the text that will be analyzed for its part-of-speech tags.
Match the following words from the sample sentence with their corresponding Fine-Grained POS tags:
Match the following words from the sample sentence with their corresponding Fine-Grained POS tags:
Flashcards
Coarse-Grained POS
Coarse-Grained POS
A broad category of parts of speech in natural language processing.
Fine-Grained POS
Fine-Grained POS
A detailed classification of parts of speech, including specific roles.
Token
Token
Individual elements in a text processed by the NLP model.
spacy.load()
spacy.load()
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nlp object
nlp object
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Study Notes
Python Code for Part-of-Speech Tagging
- Code snippet demonstrates using spaCy library for part-of-speech tagging
- Imports the spaCy library
- Loads a pre-trained English language model (
en_core_web_sm) - Defines a function
pos_taggingto perform tagging - Takes input text as argument
- Processes text using
nlp(loaded model) - Prints tagged words with coarse-grained and fine-grained POS tags
- Example usage with the sentence "The quick brown fox jumps over the lazy dog."
- Output shows each word with its POS tags (e.g., "The" - DET, DT)
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