charNgram2vec
N-gram embeddings
A repository providing a re-implementation of character n-gram embeddings for pre-training in natural language processing tasks
Pre-training character n-gram embeddings
23 stars
6 watching
4 forks
Language: C++
last commit: about 1 year ago embeddings
Related projects:
| Repository | Description | Stars |
|---|---|---|
 jwieting/charagram | A tool for training and using character n-gram based word and sentence embeddings in natural language processing. | 125 |
 zhezhaoa/ngram2vec | A toolkit for learning high-quality word and text representations from ngram co-occurrence statistics | 846 |
 giuseppemarra/char-word-embeddings | This repository provides an unsupervised approach to learning character-aware word and context embeddings. | 0 |
 pwoolcoc/ngrams | Generates n-grams from sequences of tokens | 27 |
 reddavis/n-gram | Generates sequences of characters from a given text, useful for data analysis and modeling | 37 |
 alexandres/lexvec | An implementation of a word embedding model that uses character n-grams and achieves state-of-the-art results in multiple NLP tasks | 803 |
 dalinvip/cw2vec | A software framework for learning Chinese word embeddings with stroke n-gram information | 274 |
 danieldk/go2vec | A package for reading and analyzing word embeddings from the word2vec format in Go. | 56 |
 ynqa/wego | An open-source Go library for learning and manipulating vector representations of words | 474 |
 vzhong/embeddings | Provides fast and efficient word embeddings for natural language processing. | 223 |
 malllabiisc/wordgcn | A deep learning model that generates word embeddings by predicting words based on their dependency context | 290 |
 seomoz/word2gauss | This implementation provides a way to represent words as multivariate Gaussian distributions, allowing scalable word embeddings. | 190 |
 ray1007/gwe | A software implementation of a word embedding method using character glyphs, enhancing traditional Chinese language processing | 30 |
 atgreen/cl-embeddings | A Common Lisp library for generating word embeddings using neural network models. | 8 |
 benedekrozemberczki/role2vec | An implementation of a deep learning-based method for creating vector representations of nodes in a graph | 166 |