A flask-based microservice to translate english text to pig latin. Wikipedia Link.
Pig Latin is a language game in which words in English are altered. The objective is to conceal the words from others not familiar with the rules.
Pig Latin is simply a form of jargon with rules. The Rules are described later
Demo
You can try your own examples at a web form here.
Example Usage
The fastest way to get started is to request this service from the demo api
Curl
curl --request POST \ --url https://piglatin.jaichaudhary.com/api/translate \ --form 'text=How do you say ... in Pig Latin?'
Python
import requests
url = "https://piglatin.jaichaudhary.com/api/translate"
payload = {"text": "How do you say ... in Pig Latin?"}
response = requests.request("POST", url, data=payload)
print response.text
You should see a response like
{
"text": "Owhay oday ouyay aysay ... inyay Igpay Atinlay?"
}
Installation
If you would like to run the service locally, there are multiple ways
Dockerfile
docker pull ja1chaudhary/pig-latin-translation-service docker run --name pig-latin-service -p 5000:5000 -d ja1chaudhary/pig-latin-translation-service
Python Package
To install the python package, simply
pip install piglatintranslation python -m piglatintranslation
Source
git clone https://github.com/Jai-Chaudhary/pig-latin-translation-microservice cd pig-latin-translation-microservice python setup.py install python run.py
Rules
If word begins with consonant sound, all letters before the initial vowel are placed at the end of the word sequence. Then, “ay” is added.
pig => igpay
banana => ananabay
trash => ashtray
happy => appyhay
duck => uckday
glove => oveglay
If word begins with vowel sounds or a silent letter, one just adds “yay” to the end.
eat => eatyay
omelet => omeletyay
are => areyay
Silent Letters
In order to infer silent letters cmu pronunication corpus of 134K words was used(http://www.nltk.org/_modules/nltk/corpus/reader/cmudict.html). The words with silent first letter were filtered into silent_words.json. Among them the most common prefixes were chosen as approximation of silent words. These include ( “pf”, “ph”, “ps”, “pn”, “pt”, “wr”, “ts”, “gn”, “kn”, “jo”, “he”)
Documentation
API documentation is available at http://pig-latin-translation-microservice.readthedocs.io
Testing
To run test cases, simply do
python tests.py
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Metadata
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Release files for PigLatinTranslation 0.2.0
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| File | Size | Uploaded | |
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Release files / PigLatinTranslation-0.2.0.tar.gz
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