Augment Arabic data for deep learning tasks
- back_translate: Translate text to a foreign language then translate back to original language to augment data
- markov: This method uses Markov chains to string together n new sequences of words based on previous sequences.
pip install araugment
from araugment import back_translate
text = "بلغت العربية بفضل القرآن من الاتساع مدىً لا تكاد تعرفه أي لغة أخرى من لغات الدنيا"
#default value for original is "ar" which stands for Arabic
print(back_translate(text, original="ar", target="en"))
-> 'اللغة العربية بفضل القرآن من التوسع لا تحدد تقريبا بأي لغة أخرى'from araugment import markov
text = pd.read_csv('test.tsv', sep="\t", encoding='utf-8')
doc = text.loc[text.Target == "Neutral", 'Text'].tolist()
print(markov(doc, 5))
-> ['الخاص مليان سنين دون فاءده اتصلوا علي العملاء بلاغ رقم ومتاكده بلاغي مو اول واحد',
'السلام عليكم عندي مشكله لي اسبوع رافعه طلب و لم يتم حل المشكله و البلاغ الحين ضمن البلاغات المغلقه',
'و الله دخلته كذا بس مع هيك تعودنا نمد السلام',
'سواق يمني جده توصيل مشاوير الحويه الطايف مكه جده وضواحيهابسعار مخفضه لتواصل خاص او واتساب',
'ازمه كورونا يارب رحمتك بس']araugment is licensed under the MIT License. The terms are as follows:
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