Defining Rules using Matcher

by vigneshchennai74 Updated: Jan 2, 2023

In this solution we are going to matching based on the rules with help of Spacy Library in that there is a function called as matcher. Matcher method that lets you find words and phrases using rules describing their token attributes.. You can use Spacy to match spans based on "regex like" rules and also you can extend the pipeline to include your rules. It is very easy to define the rules using spacy's Matcher class and iterate over the results. In this solution kit, I am sharing the code snippet and library that I use to match the pattern in Python which can be executed directly in the IDE

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

Code

In this solution we have used Matcher function from SpaCy

Tweek spacy spans

PythonLines of Code : 30License : CC BY-SA 4.0

import spacy
from spacy.matcher import Matcher

nlp = spacy.load("en_core_web_sm")
matcher = Matcher(nlp.vocab)
# Add match ID "HelloWorld" with no callback and one pattern
pattern = [{"LOWER": "hello"}, {"IS_PUNCT": True}, {"LOWER": "world"}]
matcher.add("HelloWorld", [pattern])

doc = nlp("Hello, world! Hello world!")
matches = matcher(doc)
for match_id, start, end in matches:
    string_id = nlp.vocab.strings[match_id]  # Get string representation
    span = doc[start:end]  # The matched span
    print(match_id, string_id, start, end, span.text)

import spacy
from spacy.matcher import Matcher

nlp = spacy.load('en_core_web_lg')
text='The car comprises 4 brakes 4.1, 4.2, 4.3 and 4.4 in fig. 5, all include an ESP system. This is shown in Fig. 6. Fig. 5 shows how the motors 56 and 57 are blocked. Besides the doors (44, 45) are painted blue.'

# Add EntityRuler to pipeline
ruler = nlp.add_pipe("entity_ruler", before="ner", config={"validate": True})
patterns = [{"label": "2_DIGIT", "pattern": [{"IS_DIGIT": True}, {"IS_PUNCT": True}, {"IS_DIGIT": True}]}]
ruler.add_patterns(patterns)

# Print 2-Digit Ents
print([(ent.label_, text[ent.start_char:ent.end_char]) for ent in doc.ents if ent.label_ == "2_DIGIT"])

Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
Enter the Text
Run the code get the rules to execute

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

Dependent Library

spaCyby explosion

Python 25086 Version:3.4.4

License: Permissive (MIT)

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

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Reuse

spaCyby explosion

Python 25086 Version:3.4.4 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

Environment Test

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

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

Using this solution, we can define the rules using spacing matcher with the help of spacy library in python . This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us matching based on the rules in python.

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