gucasbrg

gucasbrg / lstm-lm.py

Last active August 29, 2015 14:11 — forked from neubig/lstm-lm.py

	#!/usr/bin/env python
	# -- coding: utf-8 --

	# This is a simplified implementation of the LSTM language model (by Graham Neubig)
	#
	# LSTM Neural Networks for Language Modeling
	# Martin Sundermeyer, Ralf Schlüter, Hermann Ney
	# InterSpeech 2012
	#
	# The structure of the model is extremely simple. At every time step we

gucasbrg / lstm-lm.py

Last active August 29, 2015 14:11 — forked from neubig/lstm-lm.py

	#!/usr/bin/env python
	# -- coding: utf-8 --

	# This is a simplified implementation of the LSTM language model (by Graham Neubig)
	#
	# LSTM Neural Networks for Language Modeling
	# Martin Sundermeyer, Ralf Schlüter, Hermann Ney
	# InterSpeech 2012
	#
	# The structure of the model is extremely simple. At every time step we

gucasbrg / crf.py

Created November 14, 2013 05:39 — forked from neubig/crf.py

	#!/usr/bin/python

	# crf.py (by Graham Neubig)
	# This script trains conditional random fields (CRFs)
	# stdin: A corpus of WORD_POS WORD_POS WORD_POS sentences
	# stdout: Feature vectors for emission and transition properties

	from collections import defaultdict
	from math import log, exp
	import sys