FAIR open-sources fastText

This post introduces fastText, an open-source library for efficient text classification and learning word vector representations. It details the technical approach, including the use of hierarchical softmax for speed, bag-of-n-grams, subword information, and sharing hidden representations across classes. It also highlights its efficiency on large datasets and its ability to learn word representations that outperform word2vec, especially for morphologically rich languages.