Python + NLTK "WordNet" | Fill in the data in Google Sheets.
You need to fill in the meanings of English words in a Google spreadsheet. In column A is the English word - in column B you need to write its meaning. There are about 60K words.
It is important to do this as cleanly as possible, without unnecessary special characters, etc., because this will be used for working with users and should be readable.
I tried to do this by parsing data from websites and through the API. It either comes out wrong and then needs to be cleaned up, or there are limitations on API requests.
As a solution, I see NLTK + WordNet in Python. But I will also consider your suggestions.
List of words https://docs.google.com/spreadsheets/d/1Z_dMDQ8ryEUjXBai23olwz4u9yek6rcDhnXwGrP-xbE/edit?usp=sharing
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1466 9 0 Hello!
I am interested in the description of your project, I have a good idea for implementing this task without using WordNet.
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413 9 0 Good day,
I worked with the NLTK library and machine translation.
I will implement everything according to this technical specification after discussing the details.
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9351 20 0 1 Hello, I have experience with Google Sheets and text translation, ready to complete it today, feel free to contact me.
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232 1 0 Hello!
I am a Python developer with experience in similar projects.
I basically have a few ideas on how to solve this task, I can share them in private correspondence.
Write to me, we will discuss your project!
Best regards,
Andriy
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3012 73 4 2 Good day! I have experience = I can do it today!!!! Contact me!!!!!!
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1317 23 0 Good afternoon! I am ready to take on this task. Let's get in touch and discuss the details.
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