statsmaths/fasttextM: Fast Multilingual Word Embeddings
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
Browse package contents
Package details |
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| Maintainer | Taylor B. Arnold <taylor.arnold@acm.org> |
| License | LGPL-2 |
| Version | 0.2.1 |
| URL | http://github.com/statsmaths/fasttextM/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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