NlpToolkit-DataGenerator-Cy 1.0.3
Classification dataset generator library for high level Nlp tasks

Data Generator
============

Video Lectures
============

[<img src=https://github.com/StarlangSoftware/DataGenerator/blob/master/video1.jpg width="50%">](https://youtu.be/E9rE_eCffPE)[<img src=https://github.com/StarlangSoftware/DataGenerator/blob/master/video2.jpg width="50%">](https://youtu.be/ISHmGWvHL7k)

For Developers
============
You can also see [Python](https://github.com/starlangsoftware/DataGenerator-Py), [Java](https://github.com/starlangsoftware/DataGenerator), [Js](https://github.com/starlangsoftware/DataGenerator-Js), [C++](https://github.com/starlangsoftware/DataGenerator-CPP), [Swift](https://github.com/starlangsoftware/DataGenerator-Swift),  or [C#](https://github.com/starlangsoftware/DataGenerator-CS) repository.

## Requirements

* [Python 3.7 or higher](#python)
* [Git](#git)

### Python 

To check if you have a compatible version of Python installed, use the following command:

    python -V
    
You can find the latest version of Python [here](https://www.python.org/downloads/).

### Git

Install the [latest version of Git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git).

## Pip Install

	pip3 install NlpToolkit-DataGenerator-Cy

## Download Code

In order to work on code, create a fork from GitHub page. 
Use Git for cloning the code to your local or below line for Ubuntu:

	git clone <your-fork-git-link>

A directory called DataGenerator will be created. Or you can use below link for exploring the code:

	git clone https://github.com/starlangsoftware/DataGenerator-Cy.git

## Open project with Pycharm IDE

Steps for opening the cloned project:

* Start IDE
* Select **File | Open** from main menu
* Choose `DataGenerator-CY` file
* Select open as project option
* Couple of seconds, dependencies will be downloaded. 

Detailed Description
============

+ [AnnotatedDataSetGenerator](#annotateddatasetgenerator)
+ [InstanceGenerator](#instancegenerator)

## AnnotatedDataSetGenerator

DataSet yaratmak için AnnotatedDataSetGenerator sınıfı önce üretilir.

	AnnotatedDataSetGenerator(self, folder: str, pattern: str, instanceGenerator: InstanceGenerator)

Ardından generate metodu ile DataSet yaratılır.

	generate(self) -> DataSet

## InstanceGenerator

DataGeneratorlerin InstanceGeneratorlere ihtiyacı vardır. Bunlar bir tek kelimeden bir 
Instance yaratan sınıflardır.

	generateInstanceFromSentence(self, sentence: Sentence, wordIndex: int) -> Instance

NER problemi için NerInstanceGenerator, FeaturedNerInstanceGenerator ve 
VectorizedNerInstanceGeneratorsınıfı

ShallowParse problemi için ShallowParseInstanceGenerator, 
FeaturedShallowParseInstanceGenerator ve VectorizedShallowParseInstanceGenerator sınıfı

WSD problemi için SemanticInstanceGenerator, FeaturedSemanticInstanceGenerator ve
VectorizedSemanticInstanceGenerator sınıfı

Morphological Disambiguation problemi için FeaturedDisambiguationInstanceGenerator sınıfı

## Cite
If you use this resource on your research, please cite the following paper: 

```
@article{acikgoz,
  title={All-words word sense disambiguation for {T}urkish},
  author={O. Açıkg{\"o}z and A. T. G{\"u}rkan and B. Ertopçu and O. Topsakal and B. {\"O}zenç and A. B. Kanburoğlu and {\.{I}}. Çam and B. Avar and G. Ercan and O. T. Y{\i}ld{\i}z},
  journal={2017 International Conference on Computer Science and Engineering (UBMK)},
  year={2017},
  pages={490-495}
}
@inproceedings{ertopcu17,  
	author={B. {Ertopçu} and A. B. {Kanburoğlu} and O. {Topsakal} and O. {Açıkgöz} and A. T. {Gürkan} and B. {Özenç} and İ. {Çam} and B. {Avar} and G. {Ercan} and O. T. {Yıldız}},  
	booktitle={2017 International Conference on Computer Science and Engineering (UBMK)},  title={A new approach for named entity recognition},   
	year={2017},  
	pages={474-479}
}