This recipe is used for training an RNN language model and ASR rescoring

Function:

	1 Training a RNNLM 
	2 Rescoring a sentence
	3 Computing one word probility given history words. such as P(w1|w2w3***wn)

	python train.py

	python rescore.py

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
data		data
save		save
vocab		vocab
README.md		README.md
beam.py		beam.py
beam.pyc		beam.pyc
config.py		config.py
config.pyc		config.pyc
model.py		model.py
model.pyc		model.pyc
reader.py		reader.py
reader.pyc		reader.pyc
rescore.py		rescore.py
test.py		test.py
train.py		train.py