Pos Tagging

This is a tool meant for tagging words with their part-of-speech, a grammatical category based on their function within a sentence, such as noun, adjective, verb, and so forth.

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For Developers

You can also see Cython, Java, C++, C, Swift, Js, or C# repository.

Requirements

• Python 3.7 or higher
• Git

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-PosTagger

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 EnglishPosTagger will be created. Or you can use below link for exploring the code:

git clone https://github.com/starlangsoftware/EnglishPosTagger-Py.git

Open project with Pycharm IDE

Steps for opening the cloned project:

• Start IDE
• Select File | Open from main menu
• Choose EnglishPosTagger-Py file
• Select open as project option
• Couple of seconds, dependencies will be downloaded.

Detailed Description

• PosTagger

PosTagger

To train the PosTagger which is used for English pos tagging

train(self, corpus: PosTaggedCorpus)

To save the trained PosTagger model

saveModel(self)

To load an already trained PosTagger model

loadModel(self)

To tag a sentence, using a newly trained or loaded PosTagger model

posTag(self, sentence: Sentence) -> Sentence

3 different PosTagger models are supported: The one that is used to tag the sentences with a random tag

DummyPosTagger

the one that tags the word with the most used tag for a given word

NaivePosTagger

the one that does an Hmm based training and tags the words accordingly

HmmPosTagger