Data Generator

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Detailed Description

• AnnotatedDataSetGenerator
• InstanceGenerator

AnnotatedDataSetGenerator

DataSet yaratmak için AnnotatedDataSetGenerator sınıfı önce üretilir.

AnnotatedDataSetGenerator(folder: string, pattern: string, instanceGenerator: InstanceGenerator)

Ardından generate metodu ile DataSet yaratılır.

generate(): DataSet

InstanceGenerator

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

generateInstanceFromSentence(sentence: Sentence, wordIndex: number): 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

Example Generated DataSet

Word Sense Disambiguation Task

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

Named Entity Recognition Task

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

Shallow Parse Task

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

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}
}

For Contibutors
============

### Package.swift file

1. Dependencies should be given w.r.t github.

dependencies: [
    .package(name: "MorphologicalAnalysis", url: "https://github.com/StarlangSoftware/TurkishMorphologicalAnalysis-Swift.git", .exact("1.0.6"))],

2. Targets should include direct dependencies, files to be excluded, and all resources.

targets: [
    .target(
dependencies: ["MorphologicalAnalysis"],
exclude: ["turkish1944_dictionary.txt", "turkish1944_wordnet.xml",
"turkish1955_dictionary.txt", "turkish1955_wordnet.xml",
"turkish1959_dictionary.txt", "turkish1959_wordnet.xml",
"turkish1966_dictionary.txt", "turkish1966_wordnet.xml",
"turkish1969_dictionary.txt", "turkish1969_wordnet.xml",
"turkish1974_dictionary.txt", "turkish1974_wordnet.xml",
"turkish1983_dictionary.txt", "turkish1983_wordnet.xml",
"turkish1988_dictionary.txt", "turkish1988_wordnet.xml",
"turkish1998_dictionary.txt", "turkish1998_wordnet.xml"],
resources:

[.process("turkish_wordnet.xml"),.process("english_wordnet_version_31.xml"),.process("english_exception.xml")]),

3. Test targets should include test directory.

.testTarget(
	name: "WordNetTests",
	dependencies: ["WordNet"]),

### Data files
1. Add data files to the project folder.

### Swift files

1. Do not forget to comment each function.

/** * Returns the value to which the specified key is mapped. - Parameters: - id: String id of a key - Returns: value of the specified key */ public func singleMap(id: String) -> String{ return map[id]! }

2. Do not forget to define classes as open in order to be able to extend them in other packages.

open class Word : Comparable, Equatable, Hashable

3. Function names should follow caml case.

public func map(id: String)->String?

4. Write getter and setter methods.

public func getSynSetId() -> String{
public func setOrigin(origin: String){

5. Use separate test class extending XCTestCase for testing purposes.

final class WordNetTest: XCTestCase { var turkish : WordNet = WordNet()

func testSize() {
    XCTAssertEqual(78326, turkish.size())
}

6. Enumerated types should be declared as enum.

public enum CategoryType : String{ case MATHEMATICS case SPORT case MUSIC

7. Implement == operator and hasher method for hashing purposes.

public func hash(into hasher: inout Hasher) {
    hasher.combine(name)
}
public static func == (lhs: Relation, rhs: Relation) -> Bool {
    return lhs.name == rhs.name
}

8. Make classes Comparable for comparison, Equatable for equality, and Hashable for hashing check.

open class Word : Comparable, Equatable, Hashable

9. Implement < operator for comparison purposes.

public static func < (lhs: Word, rhs: Word) -> Bool {
    return lhs.name < rhs.name
}

10. Implement description for toString method.

open func description() -> String{

11. Use Bundle and XMLParserDelegate for parsing Xml files.

let url = Bundle.module.url(forResource: fileName, withExtension: "xml")
var parser : XMLParser = XMLParser(contentsOf: url!)!
parser.delegate = self
parser.parse()

also use parser method.

public func parser(_ parser: XMLParser, didStartElement elementName: String, namespaceURI: String?, qualifiedName qName: String?, attributes attributeDict: [String : String])