Corpus
Video Lectures
For Developers
You can also see Cython, Java, C, C++, Swift, Js, or C# repository.
Requirements
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.
Git
Install the latest version of Git.
Pip Install
pip3 install NlpToolkit-Corpus
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 Corpus will be created. Or you can use below link for exploring the code:
git clone https://github.com/olcaytaner/Corpus-Py.git
Open project with Pycharm IDE
Steps for opening the cloned project:
- Start IDE
- Select File | Open from main menu
- Choose
Corpus-Pyfile - Select open as project option
- Couple of seconds, dependencies will be downloaded.
Detailed Description
Corpus
To store a corpus in memory
a = Corpus("derlem.txt")
If this corpus is split with dots but not in sentences
Corpus(self, fileName=None, splitterOrChecker=None)
The number of sentences in the corpus
sentenceCount(self) -> int
To get ith sentence in the corpus
getSentence(self, index: int) -> Sentence
TurkishSplitter
TurkishSplitter class is used to split the text into sentences in accordance with the . rules of Turkish.
split(self, line: str) -> list
Metadata
Release files for nlptoolkit-corpus 1.0.28
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nlptoolkit_corpus-1.0.28.tar.gz | 25.8 kB | Details |
Release files / nlptoolkit_corpus-1.0.28.tar.gz
| Download URL | nlptoolkit_corpus-1.0.28.tar.gz |
|---|---|
| Size | 25.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
bce1fd793fea7197a7c8eb743c8b9d629ab31054c458263b7b793973c6e383b5
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BLAKE2b-256 checksum How to use checksums |
a93470a967b985e261072af0f2deddb4306f611dafaf49366897e62966817aed
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.8
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