示例#1
0
# 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
示例#2
0
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():
    """