statsmaths/fasttextM: Fast Multilingual Word Embeddings
Version 0.2

Provides a set of tools for downloading and applying the fasttext word embeddings. All embeddings are fit in-memory for speed. The resulting embeddings can be used for supervised and unsupervised learning over a text-based corpus. Embeddings are consistent across languages, so similar words in different language should get mapped to similar vectors in the output space.

Getting started

Package details

MaintainerTaylor B. Arnold <[email protected]>
LicenseLGPL-2
Version0.2
URL http://github.com/statsmaths/fasttextM/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("statsmaths/fasttextM")
statsmaths/fasttextM documentation built on Oct. 13, 2017, 7:46 p.m.