haldun

#include <stdio.h>

void Identity(int *matrix, size_t size)
{
  for (size_t i = 0; i < size; ++i) {
    for (size_t j = 0; j < size; ++j) {
      matrix[i * size + j] = (i == j) ? 1 : 0;
    }
  }
}

haldun

#!/bin/bash
## Mini-Xcode: XCode 5

MIN_VERSION="6.0"

# set default output folder is build
OUTPUT_FOLDER=${PREFIX-build}

# set default compiler
CC=${CC-$(xcrun --find gcc)}

haldun

- (BOOL)shouldPerformSegueWithIdentifier:(NSString *)identifier sender:(id)sender
{
  if ([identifier isEqualToString:@"NewPhotoAdded"]) {
    if ([self.titleTextField.text length] == 0) {
      [self alert:@"Title'i doldur haci"];
      return NO;
    }
    
    if ([self.remoteIDTextField.text length] == 0) {
      [self alert:@"remote id'yi doldur haci"];

haldun

[
  {
    "title": "first image",
    "url": "http://www.hdwallpapers3g.com/wp-content/uploads/2014/01/hd-wallpaper-desktop-1.jpeg"
  },
  {
    "title": "second image",
    "url": "http://walpopular.com/wp-content/uploads/2013/12/high-resolution-walpapers.jpg"
  },
  {

haldun

http://146.185.174.238:8888

haldun

* Title:
A noun compound extractor for Turkish
Noun compound identification for Turkish
Turkish noun compound extraction based on rules


Abstract

Introduction
  - Define NLP

haldun

http://146.185.174.238:8888

haldun

import Data.Ratio

data Q5 = Rational :+ Rational deriving (Show)

instance Num Q5 where
  (a :+ b) + (c :+ d) = (a + c) :+ (b + d)
  (a :+ b) * (c :+ d) = (a * c + 5 * b * d) :+ (a * d + b * c)

phi = (1 % 2) :+ (1 % 2)

haldun

 % LD_LIBRARY_PATH=/lib/x86_64-linux-gnu/:/usr/local/lib ./configure --enable-static=no  
checking for a BSD-compatible install... /usr/bin/install -c
checking whether build environment is sane... yes
checking for a thread-safe mkdir -p... /bin/mkdir -p
checking for gawk... no
checking for mawk... mawk
checking whether make sets $(MAKE)... yes
checking for g++... g++
checking whether the C++ compiler works... yes
checking for C++ compiler default output file name... a.out

haldun

class MyIterator(object):
    def __init__(self, sentence):
        self.sentence = sentence
        self.index = 1
        self.step = 1

    def __iter__(self):
        return self