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https://github.com/harunzafer/nuve
Natural Language Processing Library for Turkish in C#
https://github.com/harunzafer/nuve
ngram-extraction nlp nuve turkish
Last synced: 2 months ago
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Natural Language Processing Library for Turkish in C#
- Host: GitHub
- URL: https://github.com/harunzafer/nuve
- Owner: harunzafer
- License: mit
- Created: 2014-02-10T06:21:38.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2023-02-21T00:13:09.000Z (over 1 year ago)
- Last Synced: 2024-03-27T19:04:58.045Z (3 months ago)
- Topics: ngram-extraction, nlp, nuve, turkish
- Language: C#
- Homepage:
- Size: 30.4 MB
- Stars: 95
- Watchers: 27
- Forks: 15
- Open Issues: 28
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Lists
- awesome-turkish-nlp - hrzafer/nuve - Natural Language Processing Library for Turkish in C# (Libraries / C#)
README
nuve
===
Nuve is a Natural Language Processing Library for Turkish. Currently it supports:
- Morphologic analysis (35K word per second on a i5 2.8 GHz 64 bit machine)
- Morphologic generation
- Stemming
- Sentence (segmentation) boundary detection
- N-gram extraction
Morphologic Analysis is demonstrated here: http://nuvedemo.apphb.com
Morphologic Generation is demonstrated here: http://fiilcek.apphb.com
Use cases for the above tasks are as follows:
#### Morphologic Analysis and Stemming
```c#
Language tr = LanguageFactory.Create(LanguageType.Turkish);
IList solutions = tr.Analyze("yolsuzu");
foreach (var solution in solutions)
{
Console.WriteLine("\t{0}", solution);
Console.WriteLine("\toriginal:{0} stem:{1}\n",
solution.GetSurface(),
solution.GetStem().GetSurface()); //Stemming
}
```
Output:
```
yol/ISIM IY_SIFAT_sUz IC_SAHIPLIK_O_(s)U
original:yolsuzu stem:yolsuz root:yol/ISIM
yol/ISIM IY_SIFAT_sUz IC_HAL_BELIRTME_(y)U
original:yolsuzu stem:yolsuz root:yol/ISIM
```
####Morphologic Generation
```c#
//Method 1: Specify the ids of the morphemes that constitute the word
var word1 = tr.Generate("kitap/ISIM", "IC_COGUL_lAr", "IC_SAHIPLIK_BEN_(U)m",
"IC_HAL_BULUNMA_DA","IC_AITLIK_ki", "IC_COGUL_lAr", "IC_HAL_AYRILMA_DAn");
//Method 2: Specify the string representation of the analysis of the word.
string analysis = "kitap/ISIM IC_COGUL_lAr IC_SAHIPLIK_BEN_(U)m";
var word2 = tr.GetWord(analysis);
Console.WriteLine(word1.GetSurface());
Console.WriteLine(word2.GetSurface());
```
Output:
```
kitaplarımdakilerden
kitaplarım
```
Use the `public bool AddSuffix(Suffix suffix, Language language)` method in order to make sure that the word is still valid (for Turkish) after adding the suffix.
```c#
Root root = tr.GetRootsHavingSurface("gel").First(); //A Turkish verb root
var word = new Word(root);
//In Turkish the plural suffix "IC_COGUL_lAr" can not be appended to verbs!
if(!word.AddSuffix(tr.GetSuffix("IC_COGUL_lAr"), tr))
{
Console.WriteLine("Adding the suffix IC_COGUL_lAr after a verb is not valid!");
Console.WriteLine(word.GetSurface()); //prints "gel"
}
```
####Sentence Segmentation:
```c#
var paragraph = "Prof. Dr. Ahmet Bey 1.6 oranında artış var dedi 2. kez. E-posta adresi [email protected] imiş! Doğru mu?";
ITokenizer tokenizer = new ClassicTokenizer(true);
SentenceSegmenter segmenter = new TokenBasedSentenceSegmenter(tokenizer);
var sentences = segmenter.GetSentences(paragraph);
foreach (string sentence in sentences)
{
Console.WriteLine(sentence);
}
```
#### N-gram Extraction:
```c#
string Text1 = "I am Sam";
string Text2 = "Sam I am";
string Text3 = "I do not like green eggs and ham";
int Unigram = 1;
int Bigram = 2;
int Trigram = 3;
var corpus = new NGramDictionary(new NGramExtractor(Unigram, Trigram));
corpus.AddSequence(Text1.Split(null).ToList());
corpus.AddSequence(Text2.Split(null).ToList());
corpus.AddSequence(Text3.Split(null).ToList());
int freq = corpus.GetFrequency("I", "am");
```
### Add to your project
The easiest way to add Nuve in to your project is [NuGet] (http://www.nuget.org/packages/Nuve/)
In Visual Studio open [Package Manager Console] (http://docs.nuget.org/docs/start-here/using-the-package-manager-console) and run the following command:
PM> Install-Package Nuve