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https://github.com/ciwga/oxford3000_vocab

Comprehensive Oxford 3000 vocabulary resources, including definitions, translations, example sentences, and an Anki deck with YouGlish integration.
https://github.com/ciwga/oxford3000_vocab

anki dataset education english language-learning oxford3000 turkish-translation vocabulary

Last synced: 6 days ago
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Comprehensive Oxford 3000 vocabulary resources, including definitions, translations, example sentences, and an Anki deck with YouGlish integration.

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README

        

# Oxford3000_Vocab

This repository contains resources for the Oxford 3000 vocabulary, including a PDF with definitions, a CSV dataset, and an Anki deck integrated with the YouGlish API for enhanced learning.

## Contents

- `oxford_vocabulary_utf8.pdf`: A PDF document with definitions, translations, example sentences, synonyms, antonyms, and collocations for each word in the Oxford 3000 list.
- `oxford3000_vocabulary_with_collocations_and_definitions_datasets.csv`: A CSV file containing the Oxford 3000 vocabulary with collocations and definitions.
- `oxford3000_vocabulary.apkg`: An Anki deck for the Oxford 3000 vocabulary, integrated with the YouGlish API to provide pronunciation examples.

## Dataset Creation

The datasets in this repository were generated using the powerful language model GPT-4 by OpenAI. This ensures comprehensive and high-quality definitions, examples, and other linguistic data.

## Anki Deck with YouGlish API

The Anki deck includes:
- Vocabulary words from the Oxford 3000 list.
- Definitions and example sentences.
- Turkish translations.
- Part of speech.
- Related forms.
- Synonyms and antonyms.
- Common collocations.
- Links to YouGlish for pronunciation practice.

### How to Use the Anki Deck

1. Download and install [Anki](https://apps.ankiweb.net/).
2. Import the `oxford3000_vocabulary.apkg` file into Anki.
3. Use the deck to study the vocabulary. Click on the Activate YouGlish Widget button for pronunciation examples.

## Getting Started

To get started with these resources:
1. Clone the repository:
```bash
git clone https://github.com/ciwga/Oxford3000_Vocab.git
```
2. Access the files as needed for your learning and reference.

## License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.

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*Note: This README.md file was generated with the assistance of OpenAI's GPT-4.*

Happy learning!