Project
Reverse Dependencies for engtagger
The projects listed here declare engtagger as a runtime or development dependency
0.03
Lint Gherkin Files
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Markov chains for all your friends~
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A trainable natural language parser that extracts intent and entities from utterances.
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0.01
Ruby implementation of the Sequitur algorithm. This algorithm automatically
finds repetitions and hierarchical structures in a given sequence of input
tokens. It encodes the input into a context-free grammar.
The Sequitur algorithm can be used to
a) compress a sequence of items,
b) discover patterns in an sequence,
c) generate grammar rules that can represent a given input.
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0.01
Create a Slack bot that is smart and so easy to expand, create new bots on demand, run ruby code on chat, create shortcuts, chatGPT, DALL-E, Whisper...
The main scope of this gem is to be used internally in the company so teams can create team channels with their own bot to help them on their daily work, almost everything is suitable to be automated!!
slack-smart-bot can create bots on demand, create shortcuts, run ruby code, use chatGPT, DALL-E or Whisper... just on a chat channel.
You can access it just from your mobile phone if you want and run those tests you forgot to run, get the results, restart a server, or have a chatGPT session... no limits.
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0.01
Implementation of TextRank solution to ranked keyword extraction. See https://web.eecs.umich.edu/~mihalcea/papers/mihalcea.emnlp04.pdf
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0.0
automated metareview
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A framework for building interactive twitterbots which generate tweets based on pseudo-Markov texts models and respond to mentions/DMs/favs/rts.
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0.0
An English-to-cat language translator analogue to Dogeify in "Guide to Building Your First Ruby Gem Tutorial" by Matt Huggins. This is simply a practice in making my first Ruby Gem, but it is great for making your Ruby application comprehensible to felines.
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A Ruby gem to help students improve their English. A teacher can correct a student's sentence and this gem will automatically provide information on the type of error (i.e. punctuation, spelling, etc.), the placement of the errors, and the number of errors.
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0.0
Colorize sentences by part of speech in English for CLI.
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Translates English to Hawaiian Pidgin English
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0.0
Convert everyday boring English into doge speak!
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0.0
Convert everyday boring English into doge speak!
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Convert everyday boring English into doge speak!
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0.0
Building and publishing this gem as a practice.
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0.0
English to doge translations
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0.0
English to Doge translations
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0.0
Convert everyday boring English into doge speak!
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0.0
Convert everyday boring English into doge speak!
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