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How to Use the spaCy Matcher

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by vigneshchennai74 dot icon Updated: Feb 1, 2023

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"Matching a pattern" refers to finding occurrences of a certain word pattern or other linguistic components inside a text. A regular expression, which is a string of characters that forms a search pattern, is frequently used for this. 


In Python, you can use the “re” module to match patterns in strings using regular expressions. There are several functions and techniques for locating and modifying patterns in strings available in the “re” module. 

  • re.search(): This is used to search for a specific pattern in a text. It is a component of the Python regular expression (re) module, which offers a collection of tools for using regular expressions. 

A document's token patterns may be matched using the “Matcher” class in spaCy. 

  • Matcher: It returns the spans in the document that match a set of token patterns that are input. 
  • spaCy: With the help of this well-known Python module for natural language processing, users may interact with text data in a rapid and easy manner. It contains ready-to-use pre-trained models for a variety of languages. It is often used for a range of NLP applications in both industry and academics. 


You can have a look at the code below to match the pattern using SpaCy.

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

Code

In this solution we use the Matcher function of the SpaCy library.

Patterns in Spacy

PythondotLines of Code : 20dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
import spacy
from spacy.matcher import Matcher
nlp = spacy.load("en_core_web_sm")

txt = "This will take 1 day. That will take 3 days. It may take up to 3 weeks."
doc = nlp(txt)

matcher = Matcher(nlp.vocab)

pattern = [{"IS_DIGIT":True},{"LEMMA":{"REGEX":"day|week|month|year"}}]
matcher.add("HERE_IS_YOUR_MATCH",None, pattern)

matches = matcher(doc)

for match_id, start, end in matches:
    print(nlp.vocab.strings[match_id], doc[start:end])
HERE_IS_YOUR_MATCH 1 day
HERE_IS_YOUR_MATCH 3 days
HERE_IS_YOUR_MATCH 3 weeks
  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Enter the Text that need to be matched
  3. Run the file to find a matching our pattern.


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 "Pattern in Spacy " in kandi. You can try any such use case!


Note


  1. In this solution the function takes only two arguments only, so please delete the None argument in Line 11.
  2. The new version of Spacy need brackets around Pattern. Therefore in this case close the pattern using square bracket in Line 11

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 able to find matchers to our pattern using python with the help of Spacy library. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us find matches to our pattern 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 Spacy

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