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How to Merge a List of spaCy Tokens into a Doc

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by vigneshchennai74 dot icon Updated: Feb 1, 2023

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In the spaCy library, a token refers to a single word or punctuation mark that is part of a larger document. Tokens have various attributes, such as the text of the token, its part-of-speech tag, and its dependency label, that can be used to extract information from the text and understand its meaning. 


In spaCy, tokens can be merged into a single token using the “Doc.merge()” method. This method takes two arguments: the first is the start token, and the second is the end token of the span of tokens that you want to merge. 

  • Doc.merge(): This combines multiple individual tokens into a single token, which can be useful for various natural language processing tasks. 


Merging spaCy tokens into a Doc allows you to group multiple individual tokens into a single token, which can be useful for various natural language processing tasks. 


 You may have a look at the code below for more information about merging SpaCy tokens into a doc. 

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

Code

In this solution we have used spaCy - Retokenizer.merge Method from SpaCy.

spacy doc.merge to using retokenizer

PythondotLines of Code : 11dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
print([(idx,tok) for idx,tok in enumerate(samp)])
#this prints
#[(0, sydney), (1, is), (2, a), (3, cool), (4, town)]

import spacy
nlp = spacy.load("en_core_web_sm")
doc = nlp(u"sydney is a cool town")
with doc.retokenize() as retokenizer:
    retokenizer.merge(doc[0:3])
print([(idx,tok) for idx,tok in enumerate(doc)]) #[(0, sydney is a), (1, cool), (2, town)]
  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 Merge tokens in doc


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 "Merge sapcy tokens into a Doc " 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 merge the tokens into doc 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 merge the tokens 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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