Merge pull request #10 from ashwoolford/v0.7.7

re: README.md

Author: asraf-patoary

README.md

@@ -5,7 +5,7 @@
 
 
 
-BNLTK(Bangla Natural Language Processing Toolkit) is a open-source python package for Bengali Natural Language Processing. It includes modules for Tokenization, Stemming, Parts of speech tagging.
+BNLTK(Bangla Natural Language Processing Toolkit) is an open-source python package for Natural Language Processing in Bangla. It offers functionalities to perform some basic NLP tasks such as Tokenization, Stemming and Parts of speech tagging. BNLTK requires Python version 3.6, 3.7, 3.8, 3.9 or 3.10.
 
 ## installation
 

docs/index.html

@@ -100,7 +100,7 @@ <h2 class="section-title">Installation</h2>
                                 <div id="step1" class="section-block">
 
                                     <div class="code-block">
-                                        <h6>Default code example:</h6>
+                                        <h6>Installation:</h6>
                                         <div class="shadow m-5 cm">
                                             <pre><code class="language-py">pip install bnltk</code> <br></pre>
                                         </div>
@@ -119,7 +119,7 @@ <h2 class="section-title">Usage</h2>
                                     <h3 class="block-title">Tokenizer</h3>
 
                                     <div class="code-block ">
-                                        <h6>Default code example:</h6>
+                                        <h6>Tokenizer example:</h6>
                                         <div class="shadow  m-5 cm">
                                             <pre><code class="language-py">from bnltk.tokenize import Tokenizers </code> <br><code class="language-py">t = Tokenizers() </code> <br><code class="language-py">print(t.bn_word_tokenizer('আজ আবহাওয়া খুব ভালো।'))</code> <br> <code class="language-py"># ["আজ", "আবহাওয়া", "খুব", "ভালো", "।"]</code> <br></pre>
                                         </div>
@@ -134,7 +134,7 @@ <h6>Default code example:</h6>
                                     <h3 class="block-title">Stemmer</h3>
 
                                     <div class="code-block">
-                                        <h6>Default code example:</h6>
+                                        <h6>Stemmer example:</h6>
                                         <div class="shadow  m-5 cm">
                                             <pre><code class="language-py">from bnltk.stemmer import BanglaStemmer </code> <br><code class="language-py">bn_stemmer = BanglaStemmer() </code> <br><code class="language-py">print(bn_stemmer.stem('হেসেছিলেন'))</code> <br> <code class="language-py"># হাসা</code> <br></pre>
                                         </div>
@@ -149,7 +149,7 @@ <h3 class="block-title">Parts of Speech Tagger</h3>
                                         For using the Parts of Tagger you need to download some data files as follows:
                                     </p>
                                     <div class="code-block">
-                                        <h6>Default code example:</h6>
+                                        <h6>Datafiles download example:</h6>
                                         <div class="shadow  m-5 cm">
                                             <pre><code class="language-py">from bnltk.bnltk_downloads import DataFiles </code> <br><code class="language-py">DataFiles.download() </code> <br></pre>
                                         </div>
@@ -161,7 +161,7 @@ <h6>Default code example:</h6>
                                     </p>
 
                                     <div class="code-block">
-                                        <h6>Default code example:</h6>
+                                        <h6>POS tagger example:</h6>
                                         <div class="shadow  m-5 cm">
                                             <pre><code class="language-py">from bnltk.pos_tagger import PosTagger </code> <br><code class="language-py">p_tagger = PosTagger() </code> <br><code class="language-py">print(p_tagger.tagger('দুশ্চিন্তার কোন কারণই নাই'))</code><br> <code class="language-py"># [('দুশ্চিন্তার', 'NC'), ('কোন', 'JQ'), ('কারণই', 'NC'), ('নাই', 'VM')]</code><br></pre>
                                         </div>