NeuSpell: A Neural Spelling Correction Toolkit
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Updated
Jul 31, 2023 - Python
NeuSpell: A Neural Spelling Correction Toolkit
Python implementation of an N-gram language model with Laplace smoothing and sentence generation.
🦜 NLP for Tibetan, in Python.
Word/n-gram frequency lists for the Google Books Ngram Corpus (v3, all languages) with Python code
This project is an auto-filling text program implemented in Python using N-gram models. The program suggests the next word based on the input given by the user. It utilizes N-gram models, specifically Trigrams and Bigrams, to generate predictions.
An English & Chinese novel generator based on N-Grams.
Some NLP projects
Сравнение нескольких способов представления слов для построения языковых моделей
A trigram language model using NLTK to predict the next word of a phrase
Chunking Data techniques in Named Entity Recognition(NER) using NLP libraries and algorithms
SDG - Label Classifier is a N-Gram based NLP model that can label any given text to its respective Sustainable Development Goals as prescribed by the United Nations.
It's a python based n-gram langauage model which calculates bigrams, probability and smooth probability (laplace) of a sentence using bi-gram and perplexity of the model.
Classe responsável por simplificar o processo de criação de um modelo Doc2Vec (gensim) com facilitadores para geração de um vocab personalizado e com a geração de arquivos de curadoria. Dicas usando elasticsearch e singlestore.
Python scripts updated in 2020 for retrieving CSV data from the Google Ngram Viewer and plotting it in XKCD style. The Python script for retrieving ngram data was originally modified from the script at www.culturomics.org.
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