[Hindi]NLP 16# Lemmatization |NLP|Python 3|Natural Language Processing|2019
Code:
# -*- coding: utf-8 -*-
"""NLP_Ex10.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1i42L6W95dW_jlDfMsHVOWfofs8_wq6dW
"""
import spacy
nlp = spacy.load('en_core_web_sm')
doc1 = nlp(u'I am a runner running in a race beacause I love to run Since I ran this morning')
for token in doc1:
print(token.text,'\t',token.pos_,'\t',token.lemma,'\t',token.lemma_)
def show_lemma(text):
for token in text:
print(f"{token.text:{12}} {token.pos_:{6}} {token.lemma:<{22}} {token.lemma_}")
doc2 = nlp(u'I saw ten mice this morning.')
show_lemma(doc1)
"""NLP_Ex10.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1i42L6W95dW_jlDfMsHVOWfofs8_wq6dW
"""
import spacy
nlp = spacy.load('en_core_web_sm')
doc1 = nlp(u'I am a runner running in a race beacause I love to run Since I ran this morning')
for token in doc1:
print(token.text,'\t',token.pos_,'\t',token.lemma,'\t',token.lemma_)
def show_lemma(text):
for token in text:
print(f"{token.text:{12}} {token.pos_:{6}} {token.lemma:<{22}} {token.lemma_}")
doc2 = nlp(u'I saw ten mice this morning.')
show_lemma(doc1)
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