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Technical GlossaryNatural Language Processing

FastText Embeddings

An embedding method that represents words through sub-character pieces and behaves more robustly on rare and derived forms.

FastText offers an important advantage by modeling words not only as atomic units but also through character n-grams. This makes it more robust in morphologically rich languages and in settings that contain many rare words. In agglutinative languages such as Turkish, it can be more reliable than classical Word2Vec-style approaches. It strengthens the bridge between surface form and semantic representation.