You can also see Python, Cython, C++, C, Js, Swift, or C# repository.
- Java Development Kit 8 or higher, Open JDK or Oracle JDK
- Maven
- Git
To check if you have a compatible version of Java installed, use the following command:
java -version
If you don't have a compatible version, you can download either Oracle JDK or OpenJDK
To check if you have Maven installed, use the following command:
mvn --version
To install Maven, you can follow the instructions here.
Install the latest version of Git.
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/olcaytaner/DataGenerator.git
Steps for opening the cloned project:
- Start IDE
- Select File | Open from main menu
- Choose
DataGenerator/pom.xml
file - Select open as project option
- Couple of seconds, dependencies with Maven will be downloaded.
From IDE
After being done with the downloading and Maven indexing, select Build Project option from Build menu. After compilation process, user can run DataGenerator.
From Console
Go to DataGenerator
directory and compile with
mvn compile
From IDE
Use package
of 'Lifecycle' from maven window on the right and from DataGenerator
root module.
From Console
Use below line to generate jar file:
mvn install
<dependency>
<groupId>io.github.starlangsoftware</groupId>
<artifactId>DataGenerator</artifactId>
<version>1.0.46</version>
</dependency>
DataSet yaratmak için AnnotatedDataSetGenerator sınıfı önce üretilir.
AnnotatedDataSetGenerator(String directory, String pattern, InstanceGenerator instanceGenerator)
Ardından generate metodu ile DataSet yaratılır.
DataSet generate()
DataGeneratorlerin InstanceGeneratorlere ihtiyacı vardır. Bunlar bir tek kelimeden bir Instance yaratan sınıflardır.
Instance generateInstanceFromSentence(Sentence sentence, int wordIndex)
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
The following Table shows the sample text represented with sense labels and three possible features, namely the root form of the word, the part of speech (POS) tag of the word, and a boolean feature for checking the capital case.
Word | Root | Pos | Capital | ... | Tag |
---|---|---|---|---|---|
Yüzündeki | yüz | Noun | True | ... | yüz3 |
ketçap | ketçap | Noun | False | ... | ketçap1 |
lekesi | leke | Noun | False | ... | leke2 |
yüzdükten | yüz | Verb | False | ... | yüz2 |
sonra | sonra | PCAbl | False | ... | sonra1 |
çıkmış | çık | Verb | False | ... | çık10 |
. | . | Punctuation | False | ... | .1 |
The following Table shows the sample text represented with tag labels and three possible features, namely the root form of the word, the part of speech (POS) tag of the word, and a boolean feature for checking the capital case.
Word | Root | Pos | Capital | ... | Tag |
---|---|---|---|---|---|
Türk | Türk | Noun | True | ... | ORGANIZATION |
Hava | Hava | Noun | True | ... | ORGANIZATION |
Yolları | Yol | Noun | True | ... | ORGANIZATION |
bu | bu | Pronoun | False | ... | NONE |
Pazartesi'den | Pazartesi | Noun | True | ... | TIME |
itibaren | itibaren | Adverb | False | ... | NONE |
İstanbul | İstanbul | Noun | True | ... | LOCATION |
Ankara | Ankara | Noun | True | ... | LOCATION |
güzergahı | güzergah | Noun | False | ... | NONE |
için | için | Adverb | False | ... | NONE |
indirimli | indirimli | Adjective | False | ... | NONE |
satışlarını | sat | Noun | False | ... | NONE |
90 | 90 | Number | False | ... | MONEY |
TL'den | TL | Noun | True | ... | MONEY |
başlatacağını | başlat | Noun | False | ... | NONE |
açıkladı | açıkla | Verb | False | ... | NONE |
. | . | Punctuation | False | ... | NONE |
The following Table shows the sample text represented with chunk labels and three possible features, namely the root form of the word, the part of speech (POS) tag of the word, and a boolean feature for checking the capital case.
Word | Root | Pos | Capital | ... | Tag |
---|---|---|---|---|---|
Türk | Türk | Noun | True | ... | ÖZNE |
Hava | Hava | Noun | True | ... | ÖZNE |
Yolları | yol | Noun | True | ... | ÖZNE |
Salı | Salı | Noun | True | ... | ZARF TÜMLECİ |
günü | gün | Noun | False | ... | ZARF TÜMLECİ |
yeni | yeni | Adjective | False | ... | NESNE |
indirimli | indirimli | Adjective | False | ... | NESNE |
fiyatlarını | fiyat | Noun | False | ... | NESNE |
açıkladı | açıkla | Verb | False | ... | YÜKLEM |
. | . | Punctuation | False | ... | HİÇBİRİ |
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}
}