hankcs

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ICTPOS3.0词性标记集

n 名词

nr 人名

hankcs

#!/bin/bash
 
# Baidu Yun Command Line Interface
 
# Depends: bash, curl, grep, awk, sed, od
# (They are basicly builtin tools of any *nix system.)
# Additionally, fastupload depends: head, wc, md5sum or md5, cksum
# (Which are also builtin tools)
 
#### Variables ####

hankcs

# coding=utf-8
# 反向传播神经网络
#
# Written in Python.  See http://www.python.org/
# Placed in the public domain.
# Neil Schemenauer <[email protected]>

import math
import random

hankcs

int clamp(int val) {
  if (val < 0) return 0;
  if (val > 255) return 255;
  return val;
}

unsigned char layerMerge(unsigned char **layers, unsigned int layerCount, unsigned int layerWidth, unsigned int layerHeight) {
	if (1 >= layerCount) return 0;
	unsigned char isNewLayer = 0;
	unsigned int i, j, byteCount;

hankcs

#!/bin/bash

##
# AUTHOR: Andy Savage <[email protected]>
# GITHUB: www.github.com/hongkongkiwi
# DESCRIPTION: This script is for converting ISO files and burning them to a USB drive
##

HELP="USAGE: iso2usb blah.iso /dev/disk#"

hankcs

cmake -DCMAKE_BUILD_TYPE=RELEASE ..
make

hankcs

# -*- coding:utf-8 -*-
# Filename: OOV.py
# Author：hankcs
# Date: 2017-11-21 17:51

def load_words(path, dict):
    with open(path) as src:
        for line in src:
            dict.update(line.split())

hankcs

# -*- coding:utf-8 -*-


def load_conll_to_str(path):
    """
    Load a conll file to a list of strings, each string represents a sentence in conll format
    :rtype: list
    """
    with open(path) as src:
        text = src.read()

hankcs

#!/bin/bash

# This script downloads and compiles the Ontonotes 2012 data in a helpful format
# for co-reference resolution. It generates 3 files: {train, dev, test}.english.v4_gold_conll,
# as well as a directory 'conll-2012' which contains the raw extracted data.
# The script downloads and runs some python scripts which require python 2.X.

ONTONOTES_PATH=$1

if [ ! -n "$ONTONOTES_PATH" ] ; then

hankcs

#!/bin/bash

# This script downloads and compiles the Ontonotes 2012 data in a helpful format
# for co-reference resolution. It generates 3 files: {train, dev, test}.english.v4_gold_conll,
# as well as a directory 'conll-2012' which contains the raw extracted data.
# The script downloads and runs some python scripts which require python 2.X.

ONTONOTES_PATH=$1
LANGUAGE=$2