Category "tokenize"

Tell `kwic()` to ignore stopwords when situating keywords in context?

I once again have a question about the kwic() function from the quanteda package. I want to extract the five words around a specific keyword (in the example bel

Empty output for NLTK function in CGI script

I want to use python NLTK library's function in CGI script to tokenize some text, recieved via WEB. If i simply use: someamountoftext = "someamountoftext someam

Is there any faster way to get word embeddings given sub-word embeddings in BERT

Using bert.tokenizer I can get the subword ids and the word spans of words in a sentence, for example, given the sentence "This is an example", I get the encode

Tokenize a std::string to a struct

Let's say I have the following string that I want to tokenize as per the delimiter '>': std::string veg = "orange>kiwi>apple>potato"; I want every

tokenization with huggingFace BartTokenizer

I am trying to use BART pretrained model to train a pointer generator network with huggingface transformer library. example input of the task: from transformers

How to solve missing words in nltk.corpus.words.words()?

I have tried to remove non-English words from a text. Problem many other words are absent from the NLTK words corpus. My code: import pandas as pd lst = ['

Reverse of keras Text Vectorization layer?

tf.keras.layers.TextVectorization layer maps text features to integer sequences, and since it can be added as a keras model layer it makes it easy to deploy the

Python Pandas ParserError: Error tokenizing data c error with Very Large Dataset

I am new to python so thank you for your patience with me. I am in the process of converting a very large txt file to a csv file in python so I can use it in my

Apache Camel Split by start and end characters SOH and ETX

I have an spring boot application which have routes.xml being loaded on startup On the routes.xml, i have a MQ queue source that contains sample message SOH{123

AttributeError: 'GPT2TokenizerFast' object has no attribute 'max_len'

I am just using the huggingface transformer library and get the following message when running run_lm_finetuning.py: AttributeError: 'GPT2TokenizerFast' object

frequency of words in text not present in another text with tf.Tokenizer

I have a text A and a text B. I wish to find the percentage of words in text B (counting all occurrences) not present in the vocabulary (i.e., the list of all u

XSLT: How to parse out an element into multiple variables

I am trying to parse out full name out of a single field and store them into different variables so I can use them uniquely as FirstName, MiddleName, LastName.

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