docs: add basic readme

README.md

@@ -1,2 +1,64 @@
 # wink-eng-lite-model
-English lite model for wink-nlp
+English lite language model for wink-nlp.
+
+[<img align="right" src="https://decisively.github.io/wink-logos/logo-title.png" width="100px" >](http://wink.org.in/)
+This is a pre-trained English language model for the winkjs NLP package — [wink-nlp](https://winkjs.org/wink-nlp/). The lite model package has a size of under 800KB, which expands to about 2.4MB after installation. It contains models for the following NLP tasks:
+
+1. Tokenization
+2. Token's Feature Extraction
+3. Sentence Boundary Detection
+4. Negation Handling
+5. POS tagging
+6. Lemmatization (upcoming)
+7. Named Entity Recognition
+8. Sentiment Analysis
+9. Custom Entities Definition
+
+
+
+### Getting Started
+
+#### Installation
+The model must be installed along with the [wink-nlp](https://winkjs.org/wink-nlp/):
+
+```sh
+# Install wink-nlp
+npm install wink-nlp --save
+# Install wink-eng-lite-model
+npm install https://github.com/winkjs/wink-eng-lite-model/releases/download/0.1.0/wink-eng-lite-model-0.1.0.tgz --save
+```
+
+#### Example
+We start by requiring the **wink-nlp** package and the **wink-eng-lite-model**. Then we instantiate wink-nlp using the language model:
+
+```javascript
+// Load "wink-nlp" package.
+const winkNLP = require('wink-nlp');
+// Load english language model — light version.
+const model = require('wink-eng-lite-model');
+// Instantiate wink-nlp.
+const nlp = winkNLP(model);
+
+// Code for Hello World!
+var text = 'Hello   World!';
+var doc = nlp.readDoc(text);
+console.log(doc.out());
+// -> Hello   World!
+```
+
+
+#### Documentation
+Check out the wink-nlp's [concepts](https://winkjs.org/wink-nlp/getting-started.html) and  [API reference](https://winkjs.org/wink-nlp/read-doc.html) to learn more about the package.
+
+### Need Help?
+If you spot a bug and the same has not yet been reported, raise a new [issue](https://github.com/winkjs/wink-eng-lite-model/issues).
+
+### About wink
+[Wink](http://winkjs.org/) is a family of open source packages for **Natural Language Processing**, **Machine Learning** and **Statistical Analysis** in NodeJS. The code is **thoroughly documented** for easy human comprehension and has a **test coverage of ~100%** for reliability to build production grade solutions.
+
+
+### Copyright & License
+The **wink-eng-lite-model** is copyright 2020 of [GRAYPE Systems Private Limited](http://graype.in/).
+
+It is licensed under the terms of the MIT License.
+