fixed viterbi; added multi cluster/threaded named entity recognition training


Former-commit-id: 001fb8096063e635c5155741a9a036a372740d49
Added viterbi trainer and test model


Former-commit-id: e63afd6af6f44421f864a2842edac11465e15e80
window wise ner works, still playing around with optimal configurations though


Former-commit-id: 7eb387a3d3bd76bc6e935cc5b348892e641c20a0
added new word2vec setup for making handling of words piped in to neural nets saner, also added a parallelized counterpart for the new word2vec DBN


Former-commit-id: 469bf23d74d00bdacb824f518871cc25bd15ea07
update


Former-commit-id: 4ddb2557977e7c256b183fe8fd9cd56cc96572db
removed models


Former-commit-id: a7361d29d9c91ecf2112387f46f030a9d31eadb2
updated; added deep autoencoder


Former-commit-id: 5143771b86919af1de2ef44a0b156a2e24759100
github hates me updating my code


Former-commit-id: ce4e10161c5d3478d8cd3c972f656e1e1ef82fc6
github hates big models


Former-commit-id: 8eae4edafc029aeeec9b5ffef208a991a2c478ed