Top "Lemmatization" questions

Lemmatization in linguistics is the process of grouping together the different inflected forms of a word so they can be analyzed as a single item.

How do I do word Stemming or Lemmatization?

I've tried PorterStemmer and Snowball but both don't work on all words, missing some very common ones. My test words …

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What is the difference between lemmatization vs stemming?

When do I use each ? Also...is the NLTK lemmatization dependent upon Parts of Speech? Wouldn't it be more accurate …

python nlp nltk lemmatization
wordnet lemmatization and pos tagging in python

I wanted to use wordnet lemmatizer in python and I have learnt that the default pos tag is NOUN and …

python nltk wordnet lemmatization
how to use spacy lemmatizer to get a word into basic form

I am new to spacy and I want to use its lemmatizer function, but I don't know how to use …

python nltk spacy lemmatization
How to perform Lemmatization in R?

This question is a possible duplicate of Lemmatizer in R or python (am, are, is -> be?), but I'm …

r nlp lemmatization
Stemmers vs Lemmatizers

Natural Language Processing (NLP), especially for English, has evolved into the stage where stemming would become an archaic technology if "…

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How to turn plural words singular?

I'm preparing some table names for an ORM, and I want to turn plural table names into single entity names. …

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Lemmatize French text

I have some text in French that I need to process in some ways. For that, I need to: First, …

python nltk lemmatization
Sklearn: adding lemmatizer to CountVectorizer

I added lemmatization to my countvectorizer, as explained on this Sklearn page. from nltk import word_tokenize from nltk.stem …

python scikit-learn lemmatization countvectorizer
word2vec lemmatization of corpus before training

Word2vec seems to be mostly trained on raw corpus data. However, lemmatization is a standard preprocessing for many semantic …

nlp word2vec gensim lemmatization