NLP205 1 Lab Word Vector Embedding Word2Vec Lab Implementation

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Word Vector Embedding Word2Vec Lab Implementation
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if we have a sentence "vishy eat bread". then we vectorize the word "eaat"(misspelled word), why does fasttext see that the word "eaat" is more similar to the word "eat"?. How is the architecture?, is it possible for fasttext without using skipgram to be able to classify words?. Thanks

lemoniall