nlptoolkit-datagenerator-cy 1.0.5

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), [C](https://github.com/starlangsoftware/DataGenerator-C), [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}
    }