# nlg.py
import random
import datetime
from py4j_server import launch_py4j_server
from py4j.java_gateway import java_import
gateway = launch_py4j_server()
# Import the SimpleNLG classes
java_import(gateway.jvm, "simplenlg.features.*")
java_import(gateway.jvm, "simplenlg.realiser.*")
# Define aliases so that we don't have to use the gateway.jvm prefix.
NPPhraseSpec = gateway.jvm.NPPhraseSpec
PPPhraseSpec = gateway.jvm.PPPhraseSpec
SPhraseSpec = gateway.jvm.SPhraseSpec
InterrogativeType = gateway.jvm.InterrogativeType
Realiser = gateway.jvm.Realiser
TextSpec = gateway.jvm.TextSpec
Tense = gateway.jvm.Tense
Form = gateway.jvm.Form
class NLG(object):
"""
Used to generate natural language. Most of these sections are hard coded. However, some use simpleNLG which is
used to string together verbs and nouns.
"""
def __init__(self, user_name=None):
self.user_name = user_name
Python interface to the Stanford Parser.
You can access static methods and classes through the gateway.jvm object, or
you can add a line like
LexicalizedParser = gateway.jvm.LexicalizedParser
to this module to create a short alias. Run this file for a demo.
"""
import os
from py4j_server import launch_py4j_server
from py4j.java_gateway import java_import
gateway = launch_py4j_server()
# Import the SimpleNLG classes
java_import(gateway.jvm, "edu.stanford.nlp.parser.lexparser.LexicalizedParser")
java_import(gateway.jvm, "edu.stanford.nlp.trees.*")
java_import(gateway.jvm, "java.util.*")
# Define aliases so that we don't have to use the gateway.jvm prefix.
LexicalizedParser = gateway.jvm.LexicalizedParser
Tree = gateway.jvm.Tree
Arrays = gateway.jvm.Arrays
ArrayList = Arrays = gateway.jvm.ArrayList
def main():
"""
