# What are the advantages of Skip-Gram methods?

Concerning the notion of word embeddings, Skip-Gram methods aim for computing the probability of a word given its neighborhood. I do not understand the rationale behind it, since it is possible to infer this information by looking directly into the co-occurrence matrix.

In general, I cannot understand those methods aiming to capture as much relevant information from the original co-occurrence matrix as possible. Isn't it easier to work on the co-occurrence matrix directly?

Thank you very much in advance.

• Skip-grams methods are about increasing the size of the context window without increasing the order, which exponentially increases the amount of data you have to deal with. It's a clever hack. – Emre Aug 30 '17 at 14:58
• By order I refer to the number $n$ in an $n$-gram. – Emre Aug 30 '17 at 15:57