In this project, we aim at building a comprehensive word embedding [1] repository for the Turkish language. Using each of the state-of-the-art word embedding methods, embeddings of all the words in the language will be formed using a corpus. First, the three commonly-used embedding methods (Word2Vec [2,3], Glove [4], Fasttext [5]) will be used and an embedding dictionary for each one will be formed. Then we will continue with context-dependent embedding methods such as BERT [6] and Elmo [7].