I have import spacy nlp = spacy.load("en_core_web_lg") line = "Rio de Janeiro is the capital of.." doc = nlp(line) for tok in doc: printf(tok.lemma_) for ent in doc.ents: prin...

I am trying to install a specific Spacy model "en_core_web_sm". I am unable to do this due to proxy server limitations I am having in my env that I have no control over. I am using the following c...

I am trying to find the vocabulary size of the large English model, i.e. en_core_web_lg, and I find three different sources of information: spaCy's docs: 685k keys, 685k unique vectors nlp.vocab....

I get the tokens for a string as doc = nlp(u"This is the first sentence. This is the second sentence.") for token in doc: print(token.i, token.text) with the output 0 This 1 is 2 the 3 first 4...

I want to find the subject from a sentence using Spacy. The code below is working fine and giving a dependency tree. import spacy from nltk import Tree en_nlp = spacy.load('en') doc = en_nlp("Th...

I choose spacy to process kinds of text because of the performance of it's lemmatation compared with nltk. But When I process millions short text, it always consumed all of my memory(32G) and crash...

Perhaps I've skipped over a part of the docs, but what I am trying to determine is a unique ID for each entity in the standard NER toolset. For example: import spacy from spacy import displacy imp...

I was getting the following error while i was trying to read a list in spacy. TypeError: Argument 'string' has incorrect type (expected spacy.tokens.token.Token, got str) Here is the code below f= ...

I am building a python package and I am using Spacy library and Spacy model en_core_web_md. It can't be installed using pip. You can install it like this python -m spacy download en_core_web_...

I am currently using Windows OS. I have installed Anaconda for creating environments. I have successfully created another environment with python 2.7. I have also installed spacy on that environmen...

I was triying to install the large English module "en_core_web_lg" for spaCy (a library for Natural Language Processing) For some reasons, the small and medium modules were successfully installed ...

I have try to refer to spaCy official website https://spacy.io/api/annotation#dependency-parsing but I only got list of universal dependency relation which also on https://universaldependencies.org...

I have to process hundreds of thousands of texts. I have found that the thing that is taking the longest in the following: nlp = English() ruler = EntityRuler(nlp) patterns = [...] ruler.add_patte...

I want spaCy to use the sentence segmentation boundaries as I provide instead of its own processing. For example: get_sentences("Bob meets Alice. @SentBoundary@ They play together.") # => ["B...

I have been using Spacy for noun chunks extraction using Doc.noun_chunks property provided by Spacy. How could I extract verb phrases from input text using Spacy library (of the form 'VERB ? ADV * ...

I am using training spacy NER to extract skills information from resume.But error is Could not find a transition with the name 'U-SKILL' in the NER model TRAINING DATA: [(u"I have 2 years of ex...

I'm trying to split this document into paragraphs. Specifically, I would like to split the text whenever there is a line break (<br>) This is the code I'm using but is not producing the resu...

Is it possible to use spacy to translate this sentence into some other language, for e.g. french? import spacy nlp = spacy.load('en') doc = nlp(u'This is a sentence.') If spacy is not the ...

Can I use spacy in python to find NP with specific neighbors? I want Noun phrases from my text that has verb before and after it.

I try to do typo correction with spaCy, and for that I need to know if a word exists in the vocab or not. If not, the idea is to split the word in two until all segments do exist. As example, "ofth...

I have two files, file1.py which have ML model size of 1GB and file2.py which calls get_vec() method from file1 and receives vectors in return. ML model is being loaded everytime when file1 get_vec...

Using Spacy, I extract aspect-opinion pairs from a text, based on the grammar rules that I defined. Rules are based on POS tags and dependency tags, which is obtained by token.pos_ and token.dep_. ...

All the examples that I see for using spacy just read in a single text file (that is small in size). How does one load a corpus of text files into spacy? I can do this with textacy by pickling all...

I'm trying to do data enhancement with a FAQ dataset. I change words, specifically nouns, by most similar words with Wordnet checking the similarity with Spacy. I use multiple for loop to go throug...

When we train custom model, I do see we have dropout and n_iter parameters to tune, but which deep learning algorithm does Spacy Uses to train Custom Models? Also, when Adding new Entity type is it...