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#!/usr/bin/env python
#-*- coding:utf-8 -*-
#---------------------------------------------------------------
# PyNLPl - Language Models
# by Maarten van Gompel, ILK, Universiteit van Tilburg
# http://ilk.uvt.nl/~mvgompel
# proycon AT anaproy DOT nl
#
# Generic Server for Language Models
#
#----------------------------------------------------------------
#No Python 3 support for twisted yet...
from twisted.internet import protocol, reactor
from twisted.protocols import basic
class LMSentenceProtocol(basic.LineReceiver):
def lineReceived(self, sentence):
try:
score = self.factory.lm.scoresentence(sentence)
except:
score = 0.0
self.sendLine(str(score))
class LMSentenceFactory(protocol.ServerFactory):
protocol = LMSentenceProtocol
def __init__(self, lm):
self.lm = lm
class LMNGramProtocol(basic.LineReceiver):
def lineReceived(self, ngram):
ngram = ngram.split(" ")
try:
score = self.factory.lm[ngram]
except:
score = 0.0
self.sendLine(str(score))
class LMNGramFactory(protocol.ServerFactory):
protocol = LMNGramProtocol
def __init__(self, lm):
self.lm = lm
class LMServer:
"""Language Model Server"""
def __init__(self, lm, port=12346, n=0):
"""n indicates the n-gram size, if set to 0 (which is default), the server will expect to only receive whole sentence, if set to a particular value, it will only expect n-grams of that value"""
if n == 0:
reactor.listenTCP(port, LMSentenceFactory(lm))
else:
reactor.listenTCP(port, LMNGramFactory(lm))
reactor.run()
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