/tatoeba-to-anki

Creates Anki Flash cards from Tatoeba sentences, ordering them by difficulty and downloading audio

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

Tatoeba to Anki sentence pair flash card creator

Download decks for 39 languages here!

This project creates Anki flashcards from a Tatoeba language pair, ordering the cards by difficulty, downloading audio from Tatoeba (and high-quality Text-To-Speech if the native audio is not available) and reducing the card number to a set maximum.

The ordering algorithm takes the average frequency of each sentence and sentence length into account.

It also removes duplicates.

Additionally it supports the generation of automatic help to lookup single words directly on the back of the card. By default, it downloads a dictionary for this automatically (limited to English definitions currently). You can also pass a custom tabfile dictionary (use pyglossary to convert other dictionaries).

It should work for all languages pairs.

Running it

You should install it with pip install git+https://github.com/Vuizur/tatoeba-to-anki or poetry add git+https://github.com/Vuizur/tatoeba-to-anki.

Then use it from Python by creating a file example.py with the following content:

from tatoeba_to_anki import AnkiDeckCreator

adc = AnkiDeckCreator(
    "Polish", "English", max_sentence_number=6000, tts_voices="pl-PL-ZofiaNeural", in_memory_database=False
)

adc.export_anki_deck()

The parameter tts_voices is one (or a list) of the Edge TTS voices. For choosing the best one, you can use the read aloud function of the Edge browser. The strings you can use are listed in the voices.txt file under shortName.

I plan on adding more features, you can open an issue if you think something should be changed/improved or send a pull request.

Attribution

All the sentences come from the Tatoeba corpus and are available under the CC-BY 2.0 FR.

The definitions come from Wiktionary and are available under the Creative Commons Attribution-ShareAlike 3.0 Unported License

Acknowledgements

I thank the authors of the Tatoeba project, LBeaudoux (the creator of TatoebaTools) and Tatu Ylonen and the other contributors of the Wiktextract project for their hard work.

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