bayanat is a simple library for gathering statistics about Arabic text.

Examples

from bayanat import Bayanat
dataset = Bayanat(path)

Functions

• get_top_freq_words retrieves n most frequent words.
• get_top_freq_chars retrieves n most chars chars.
• get_largest_word get the largest word in the corpus.
• get_top_longest_words get the top longest words in the corpus.
• sample_words_by_char sample words by character.
• sample_random_sentence sample a sentence with a given size.
• get_ratio_of_non_arabic show percentage of non Arabic chars.
• get_ratio_of_english show percentage of English chars.
• get_ratio_of_arabic show percentage of Arabic chars.
• get_stats print number of chars, words and lines.
• get_size_vocab gets the number of unique words in the text.
• plot_top_freq_words plots n most frequent words a bar graph.
• plot_top_freq_words plots n most frequent chars a bar graph.
• plot_embeddings given some words it plots the words using embeddings. This uses AraVec model.
• plot_word_cloud plots the word cloud of a given text

Demo

Run directly on Colab.

Contribution

This is an open source project where we encourage contributions from the community.

License

MIT license.

Citation

@misc{bayanat2020,
  author = {Zaid Alyafeai and Maged Saeed},
  title = {bayanat: Statistics of Arabic Text.},
  year = {2020},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/ARBML/bayanat}}
}