grascii 0.6.0

Creator: bradpython12

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Description:

grascii 0.6.0

About the Project
Grascii is a language used to represent Gregg Shorthand forms using the ASCII
character set (characters found on a standard keyboard). The Grascii Project,
also referred to as Grascii, encompasses the set of tools and resources
accompanying the language that facilitate the reading, writing, and study of
Gregg Shorthand at all levels.


Useful Links

Full Documentation (readthedocs)
Additional Dictionaries
grascii-gui (graphical interface for Grascii Search)



Made With

Python 3



Getting Started

Prerequisites

Python 3.7+



Installation
Install the package:
$ python -m pip install grascii[interactive]
Note: We recommend the interactive extra for the majority of users. You may
omit the interactive extra when using the package as a library to
reduce dependencies. Also see grascii-gui
for a graphical interface for Grascii Search.
Verify the installation:
$ grascii --help
If the command fails, your PATH may not contain the location of Python scripts.
You can also try:
$ python -m grascii --help



Grascii Language
The Grascii Language aims to be straightforward for those who are familiar with
Gregg Shorthand. That is, Grascii represents most strokes with the letters that
match their sounds. For example, the word Cross is written as KROS.
For a more detailed overview of the language, see language.


Grascii Search
Grascii Search is the headline tool of the Grascii Project. It provides many
useful options for searching Grascii Dictionaries (reverse Gregg Shorthand
dictionaries).

Motivation
The existence of shorthand dictionaries have aided the conversion of longhand
to shorthand. However, the reverse has remained a challenge since the
inception of Gregg Shorthand. Grascii Search solves this problem by allowing
users to identify the longhand corresponding to a shorthand form by performing
a search based on its Grascii representation.


Basic Usage
Ex.:
$ grascii search -g AB
AB About
A|B Agreeable
Results: 2


Uncertainty
Occassionally, a stroke is mistaken for one of similar form. Thus, Grascii
Search provides levels of uncertainty.
Ex.:
$ grascii search -g FND -u1
FND Found
FND Fund
FTH Forth
FTH Further
SND Sound
Results: 5
The ND stroke could also be an under TH or an MT/MD. The search accounts for
these possibilities with Forth and Further. F is also close to S or V,
resulting in Sound.


Interactive Mode
For repeated usage, we recommend running Grascii Search in interactive mode.
For more complex queries, interactive mode removes the need of using escape
sequences on the command line.
$ grascii search -i
Note: Requires the interactive extra


More Options
For more options, see search.



Grascii Dictionary
Grascii comes with a dictionary based on the 1916 Gregg Shorthand Dictionary.
More dictionaries for other versions of Gregg and dictionaries including
phrases are available for installation at the Grascii Dictionaries repository.
You can also write, build, and install your own custom dictionaries.
For more information, see dictionary.


Grascii Dephrase (Experimental)
Grascii includes an experimental phrase parsing module.
It attempts to give the phrase for the most common phrase constructions in
Gregg Shorthand and provide suggestions for never before seen phrases:
$ python -m grascii.dephrase AVNBA
I HAVE NOT BEEN ABLE


Documentation
Documentation is available on Read the Docs.


Contributing
Contributions of any kind are welcome and appreciated. You can contribute by:

Reporting bugs or unexpected behavior
Fixing bugs and solving issues
Helping implement new features
Editing documentation for correctness, completeness, and clarity
Sharing thoughts and suggestions to improve the Grascii Language


Dictionary
If you find an error in any of the dictionaries, please open an issue or pull
request at the dictionaries repository.
Contributions to the dictionaries repository are also welcome to correct errors
and create more dictionaries.



License
This project is under the MIT License.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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