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How to make a Spacy Matcher Pattern with Specific Nouns

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by vigneshchennai74 dot icon Updated: Jan 31, 2023

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In spaCy, the Matcher class allows you to match patterns of tokens in a Doc object. The Matcher is initialized with a vocabulary, and then patterns can be added to the matcher using the “Matcher.add()” method. The patterns that are added to the matcher are defined using a list of dictionaries, where each dictionary represents a token and its attributes. 

  • Matcher.add(): In spaCy, the Matcher.add() method is used to add patterns to a Matcher object, which can then be used to find matches in a Doc object. 

Once the patterns have been added to the matcher, you can use the “Matcher.matches()” method to find all instances of the specified patterns in a Doc object. 

  • Matcher.matches(): The method returns a list of tuples, where each tuple represents a match and contains the start and end index of the matching span in the Doc. This can be useful in various NLP tasks such as information extraction, text summarization, and sentiment analysis. 

 

You may have a look at the code below for more information about SpaCy matcher patterns with specific nouns. 

Preview of the output that you will get on running this code from your IDE

Code

In this solution we have used Matcher function of Spacy.

Spacy matcher pattern with specifics nouns

PythondotLines of Code : 21dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
import spacy
from spacy.matcher import Matcher

nlp = spacy.load("en_core_web_sm")
matcher = Matcher(nlp.vocab)
pattern = [{"POS": "VERB"}, {"POS": "DET", "OP" : "?"}, {"POS": "NOUN"}]
matcher.add("mypattern", [pattern])
Verbwithnoun = "I know the language. I like the cat, I eat a meal, I make spices."
doc = nlp(Verbwithnoun)
matches = matcher(doc)

for match_id, start, end in matches:
    string_id = nlp.vocab.strings[match_id] 
    phrase = doc[start:end]
    if phrase.text.endswith('s') or phrase.text.endswith('t') or phrase.text.endswith('l'):
        print(doc[start:end])

like the cat
eat a meal
make spices
  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Enter the Text
  3. Run the file to get the Nouns that ends with s-l-t.


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 "Spacy matcher pattern with specific Nouns" in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.


  1. The solution is created in Python 3.7.15 Version
  2. The solution is tested on Spacy 3.4.3 Version


Using this solution, we can collect nouns that ends with s-t-l with the help of function in spacy . This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us Collect the whatever the nouns user needs in python

Dependent Library

spaCyby explosion

Python doticonstar image 26383 doticonVersion:v3.2.6doticon
License: Permissive (MIT)

💫 Industrial-strength Natural Language Processing (NLP) in Python

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            spaCyby explosion

            Python doticon star image 26383 doticonVersion:v3.2.6doticon License: Permissive (MIT)

            💫 Industrial-strength Natural Language Processing (NLP) in Python
            Support
              Quality
                Security
                  License
                    Reuse

                      If you do not have SpaCy that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the Spacy page in kandi.

                      You can search for any dependent library on kandi like Spac

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