pip install lark-parser -> lark

README.md

@@ -33,7 +33,7 @@ Most importantly, Lark will save you time and prevent you from getting parsing h
 
 ### Install Lark
 
-    $ pip install lark-parser --upgrade
+    $ pip install lark --upgrade
 
 Lark has no dependencies.
 

docs/classes.rst

@@ -13,7 +13,7 @@ Using Unicode character classes with ``regex``
 
 Python's builtin ``re`` module has a few persistent known bugs and also won't parse
 advanced regex features such as character classes.
-With ``pip install lark-parser[regex]``, the ``regex`` module will be
+With ``pip install lark[regex]``, the ``regex`` module will be
 installed alongside lark and can act as a drop-in replacement to ``re``.
 
 Any instance of Lark instantiated with ``regex=True`` will use the ``regex`` module instead of ``re``.

docs/index.rst

@@ -56,7 +56,7 @@ Install Lark
 
 .. code:: bash
 
-   $ pip install lark-parser
+   $ pip install lark
 
 Syntax Highlighting
 -------------------

docs/parsers.md

@@ -7,7 +7,7 @@ An [Earley Parser](https://www.wikiwand.com/en/Earley_parser) is a chart parser
 
 Lark's Earley implementation runs on top of a skipping chart parser, which allows it to use regular expressions, instead of matching characters one-by-one. This is a huge improvement to Earley that is unique to Lark. This feature is used by default, but can also be requested explicitly using `lexer='dynamic'`.
 
-It's possible to bypass the dynamic lexing, and use the regular Earley parser with a traditional lexer, that tokenizes as an independent first step. Doing so will provide a speed benefit, but will tokenize without using Earley's ambiguity-resolution ability. So choose this only if you know why! Activate with `lexer='basic'`
+It's possible to bypass the dynamic lexing, and use the regular Earley parser with a basic lexer, that tokenizes as an independent first step. Doing so will provide a speed benefit, but will tokenize without using Earley's ambiguity-resolution ability. So choose this only if you know why! Activate with `lexer='basic'`
 
 **SPPF & Ambiguity resolution**
 

docs/tools.md

@@ -23,7 +23,7 @@ Lark comes with a tool to convert grammars from [Nearley](https://github.com/Har
 
 1. Install Lark with the `nearley` component:
 ```bash
-pip install lark-parser[nearley]
+pip install lark[nearley]
 ```
 
 2. Acquire a copy of the Nearley codebase. This can be done using: