Metadata-Version: 2.1
Name: plover-stenobee
Version: 0.3.21.9
Summary: Plover plugin for StenoBee Credits ( Emily Paulfioravanti Kaoffie Jen and many others )
Home-page: https://github.com/Tink-Bell/StenoBee
Author: Emily Easteal
Author-email: emily@easteal.dev
Keywords: plover plover_plugin
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
Requires-Dist: plover
Requires-Dist: inflect
Requires-Dist: plover-python-dictionary

# StenoBee
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Plover plugin for Spelling Based Stenography
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Created by Tink & Emily & Kaoffie
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With lots of help from, Jen and paulfioravanti :)
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![StenoBee_larger](https://github.com/Tink-Bell/StenoBee/assets/143440063/d2bb970e-0163-400d-a901-0e479134b88e)
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![ezgif-2-9a548ef0d5](https://github.com/Tink-Bell/StenoBee/assets/143440063/1bc790b8-b83d-4e1a-a4f7-52ff6f215e7b)
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StenoBee, is a spelling based, orderless Steno theory for Plover.
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![Plover_trans](https://github.com/Tink-Bell/StenoBee/assets/143440063/a63cce07-d8e1-4d6b-bf80-89ff05a1cd79)
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Some key points about Stenobee
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1) Originally made to avoid having issues with dialect differences in vowel sounds
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2) Using custom Dictionary creation tools (provided at the very bottom), you can make the dictionary based solely on your own lexicon.
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3) The default dictionary is made using a raw text file of 445k words (13k unique words), from myself over 3-4 years of my discord messages.
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![good and bad](https://github.com/Tink-Bell/StenoBee/assets/143440063/131f7453-2643-48d2-98e2-f517f8973f29)
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Some things that StenoBee is Good for
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1) Can be easily customized using raw text or a ranked list.
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2) It's great at encoding long phrases into single strokes(see example image above)
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What is StenoBee is bad at.
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1) Captioning, and court reporting work, since the orderless non phonetic nature of it actively makes transcription related work harder.
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2) Small words are often made longer with suffixes if they are less common(see example image above)
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![newlayout](https://github.com/Tink-Bell/StenoBee/assets/143440063/64458a5f-b230-46f6-a254-20d46189f56a)
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![Number Mapping](https://github.com/Tink-Bell/StenoBee/assets/143440063/5d05e90d-5b49-402d-a0f1-a75bd1e15633)
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![symb](https://github.com/Tink-Bell/StenoBee/assets/143440063/0d6782ad-ca47-4e3f-9bf3-9ffa05324232)
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![examples](https://github.com/Tink-Bell/StenoBee/assets/143440063/a28a3695-86d0-4463-a5e6-3cf9dd6050b4)
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![Screenshot from 2023-09-26 20-17-12](https://github.com/Tink-Bell/StenoBee/assets/143440063/c6d5c685-e5ca-4707-8218-0b65ffb7bcd2)
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![Comparison](https://github.com/Tink-Bell/StenoBee/assets/143440063/ad3bdf0f-a322-47df-b9cf-7e5ad4d334ea)
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IF you are here, and you are still interested.
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You can also make the dictionary entirely based on what you want.
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Using these tools, you can take either raw text, or a ranked list.
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Then make a common words dictionary from it.
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https://www.dropbox.com/scl/fi/0p09wxwk1vsha8tgkgi1q/Raw-text-to-List-Tools.zip?rlkey=dem74k15jicj63ir33hn0l51g&dl=0
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https://www.dropbox.com/scl/fi/dfnrg4mn40s8mrj70d89y/List-to-Common-Json-Tools.zip?rlkey=zdx6ze8z8pg63ea26yqt9m7fg&dl=0
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![STENOBEE_example](https://github.com/Tink-Bell/StenoBee/assets/143440063/d35d6ba6-cf48-4928-ad1b-6ac3a1719c6b)
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