Tesnière introduced the dependency trees, structural order, the concept of dependency and applied his representation concepts in a variety of languages such as French, Greek, Russian, Italian, and so on. In structural order, syntactic relations are presented in a hierarchical manner as opposed to the linear order. He uses “stemmas” to reflect hierarchy.
Today, dependency grammars are divided into two. One study from the tradition that applies this distinction to the dependency grammar is the Prague Dependency Treebank (PDT) developed by the Prague School of Functional and Structural Linguistics. A famous example for the other school of thought that displays linear order is the Penn Treebank that functioned between the years of 1989-1996, containing seven million annotated texts from American English.
In 2005, The Stanford Dependencies developed for the parsing of the English language and to be used in NLP studies and in Stanford Dependency Parser. Stanford Dependencies were acknowledged as the standard for the dependency analyses of English. However, the Stanford Dependency parser could not reach an adequate accuracy when it was used with other dependency schemes. In the following years, the Universal Dependency Treebank (UDT) project pioneered to develop treebanks for languages other than English by transforming the Stanford dependencies into a more inclusive annotation scheme for a diverse set of languages.
The developments in the dependency treebanking made it clear that Turkish language needed a Treebank of its own. The first Turkish language dependency treebank is METU-Sabanci Turkish Treebank. This treebank used a corpus that consisted of 7,262 sentences and included morphological and syntactic annotations. In 2016, this tree-bank was revisited under the name of ITU-METU-Sabancı Treebank (IMST) to reduce the inconsistencies of its earlier version. They succeeded to reduce inconsistencies by applying a new annotation scheme. As a last step, The Bogazici-ITU-METU-Sabancı Treebank (BIMST) is updated as the same corpus. Having a linguistic team of three people, they created a new annotation scheme for IMST and manually re-annotated the data of 5.635 sentences while introducing new dependency relations that were not present in IMST.
You can also see either Java, Python, Cython, C++, C, Js, Php, or C# repository.
- Xcode Editor
- Git
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 Corpus-Swift will be created. Or you can use below link for exploring the code:
git clone https://github.com/starlangsoftware/TurkishDependencyParser-Swift.git
To import projects from Git with version control:
-
XCode IDE, select Clone an Existing Project.
-
In the Import window, paste github URL.
-
Click Clone.
Result: The imported project is listed in the Project Explorer view and files are loaded.
From IDE
After being done with the downloading and opening project, select Build option from Product menu. After compilation process, user can run TurkishDependencyParser-Swift.
- Dependencies should be given w.r.t github.
dependencies: [
.package(name: "MorphologicalAnalysis", url: "https://github.com/StarlangSoftware/TurkishMorphologicalAnalysis-Swift.git", .exact("1.0.6"))],
- 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")]),
- Test targets should include test directory.
.testTarget(
name: "WordNetTests",
dependencies: ["WordNet"]),
- Add data files to the project folder.
- 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]!
}
- 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
- Function names should follow caml case.
public func map(id: String)->String?
- Write getter and setter methods.
public func getSynSetId() -> String{
public func setOrigin(origin: String){
- Use separate test class extending XCTestCase for testing purposes.
final class WordNetTest: XCTestCase {
var turkish : WordNet = WordNet()
func testSize() {
XCTAssertEqual(78326, turkish.size())
}
- Enumerated types should be declared as enum.
public enum CategoryType : String{
case MATHEMATICS
case SPORT
case MUSIC
- 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
}
- Make classes Comparable for comparison, Equatable for equality, and Hashable for hashing check.
open class Word : Comparable, Equatable, Hashable
- Implement < operator for comparison purposes.
public static func < (lhs: Word, rhs: Word) -> Bool {
return lhs.name < rhs.name
}
- Implement description for toString method.
open func description() -> String{
- 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])