Arabic

Classical Arabic is the form of the Arabic language used in Umayyad and Abbasid literary texts from the 7th century AD to the 9th century AD. The orthography of the Qurʾān was not developed for the standardized form of Classical Arabic; rather, it shows the attempt on the part of writers to utilize a traditional writing system for recording a non-standardized form of Classical Arabic. (Source: Wikipedia)

Corpora

Use CorpusImporter().

In [1]: from cltk.corpus.utils.importer import CorpusImporter

In [2]: c = CorpusImporter('arabic')

In [3]: c.list_corpora
Out[3]:
['arabic_text_perseus','arabic_text_quranic_corpus','arabic_morphology_quranic-corpus']

In [4]: c.import_corpus('arabic_text_perseus')  # ~/cltk_data/arabic/text/arabic_text_perseus/

Alphabet

The Arabic alphabet are placed in cltk/corpus/arabic/alphabet.py.

 In [1]: from cltk.corpus.arabic.alphabet import *
# all Hamza forms
 In [2]: HAMZAT
 Out[2]: ('ء', 'أ', 'إ', 'آ', 'ؤ', 'ؤ', 'ٔ', 'ٕ')
# print HAMZA from hamza const and from HAMZAT list

 In [3] HAMZA
 Out[3] 'ء'

 In [4] HAMZAT[0]
 Out[4] 'ء'
# listing all Arabic letters

 In [5] LETTERS
 out [5] 'ا ب ت ة ث ج ح خ د ذ ر ز س ش ص ض ط ظ ع غ ف ق ك ل م ن ه و ي ء آ أ ؤ إ ؤ'
# Listing all shaped forms for example  Beh letter

 In [6] SHAPED_FORMS[BEH]
 Out[6] ('ﺏ', 'ﺐ', 'ﺑ', 'ﺒ')
# Listing all Punctuation marks

 In [7] PUNCTUATION_MARKS
 Out[7] ['،', '؛', '؟']
# Listing all Diacritics  FatHatanً ,Dammatanٌ ,Kasratanٍ ,FatHaَ ,Dammaُ ,Kasraِ ,Sukunْ ,Shaddaّ

 In [8] TASHKEEL
 Out[8] ('ً', 'ٌ', 'ٍ', 'َ', 'ُ', 'ِ', 'ْ', 'ّ')
# Listing HARAKAT

 In [9] HARAKAT
 Out[9] ('ً', 'ٌ', 'ٍ', 'َ', 'ُ', 'ِ', 'ْ')
# Listing SHORTHARAKAT

 In [10] SHORTHARAKAT
 Out[10] ('َ', 'ُ', 'ِ', 'ْ')
# Listing Tanween

 In [11] TANWEEN
 Out[11] ('ً', 'ٌ', 'ٍ')
# Kasheeda, Tatweel

 In [12] NOT_DEF_HARAKA
 Out[12] 'ـ'

# WESTERN_ARABIC_NUMERALS numerals

 In [13] WESTERN_ARABIC_NUMERALS
 Out[13] ['0','1','2','3','4','5','6','7','8','9']
# EASTERN ARABIC NUMERALS from 0 to 9

 In [14] EASTERN_ARABIC_NUMERALS
 Out[14] ['۰', '۱', '۲', '۳', '٤', '۵', '٦', '۷', '۸', '۹']
# Listing The Weak letters  .

 In [15] WEAK
 Out[15]  ('ا', 'و', 'ي', 'ى')
# Listing all Ligatures Lam-Alef

 In [16] LIGATURES_LAM_ALEF
 Out[16] ('ﻻ', 'ﻷ', 'ﻹ', 'ﻵ')
# listing small letters

 In [17] SMALL
 Out[17] ('ٰ', 'ۥ', 'ۦ')
# Import letters names in arabic

 In [18] Names[ALEF]
 Out[18]  'ألف'

CLTK Arabic Support

1. Pyarabic

Specific Arabic language library for Python, provides basic functions to manipulate Arabic letters and text, like detecting Arabic letters, Arabic letters groups and characteristics, remove diacritics etc.Developed by Taha Zerrouki:.

1.1. Features

  1. Arabic letters classification
  2. Text tokenization
  3. Strip Harakat ( all, except Shadda, tatweel, last_haraka)
  4. Sperate and join Letters and Harakat
  5. Reduce tashkeel
  6. Mesure tashkeel similarity ( Harakats, fully or partially vocalized, similarity with a template)
  7. Letters normalization ( Ligatures and Hamza)
  8. Numbers to words
  9. Extract numerical phrases
  10. Pre-vocalization of numerical phrases
  11. Unshiping texts

1.2. Applications

  • Arabic text processing

1.3. Usage

In [1] from cltk.corpus.arabic.utils.pyarabic import araby

In [2] char = 'ْ'

In [3] araby.is_sukun(char)  # Checks for Arabic Sukun Mark
Out[3] True

In [4] char = 'ّ'

In [5] araby.is_shadda(char)  # Checks for Arabic Shadda Mark
Out[5] True

In [6] text = "الْعَرَبِيّةُ"

In [7] araby.strip_harakat(text)  # Strip Harakat from arabic word except Shadda.
Out[7] العربيّة

In [8] text = "الْعَرَبِيّةُ"

In [9] araby.strip_lastharaka(text)# Strip the last Haraka from arabic word except Shadda
Out[9] الْعَرَبِيّة

In [10] text = "الْعَرَبِيّةُ"

In [11] araby.strip_tashkeel(text)  # Strip vowels from a text,  include Shadda
Out[11] العربية

Stopword Filtering

To use the CLTK's built-in stopwords list:

In [1]: from cltk.stop.arabic.stopword_filter import stopwords_filter as ar_stop_filter

In [2]: text = 'سُئِل بعض الكُتَّاب عن الخَط، متى يَسْتحِقُ أن يُوصَف بِالجَودةِ؟'

In [3]: ar_stop_filter(text)
Out[3]: ['سئل', 'الكتاب', 'الخط', '،', 'يستحق', 'يوصف', 'بالجودة', '؟']

Word Tokenization

In [1]: from cltk.tokenize.word import WordTokenizer

In [2]: word_tokenizer = WordTokenizer('arabic')

In [3]: text = 'اللُّغَةُ الْعَرَبِيَّةُ جَمِيلَةٌ.'

In [4]: word_tokenizer.tokenize(text)
Out[4]: ['اللُّغَةُ', 'الْعَرَبِيَّةُ', 'جَمِيلَةٌ', '.']

Transliteration

The CLTK Provides Buckwalter and ISO233-2 Transliteration Systems for the Arabic language.

Available Transliteration Systems

In [1] from cltk.phonology.arabic.romanization import available_transliterate_systems

In [2] available_transliterate_systems()
Out[2] ['buckwalter', 'iso233-2', 'asmo449']

Usage

In [1] from cltk.phonology.arabic.romanization import transliterate

In [2] mode = 'buckwalter'

In [3] ar_string = 'بِسْمِ اللهِ الرَّحْمٰنِ الرَّحِيْمِ' # translate in English: In the name of Allah, the Most Merciful, the Most Compassionate

In [4] ignore = '' # this is for ignore an arabic char from transliterate operation

In [5] reverse = True # true means transliteration from arabic native script to roman script such as Buckwalter

In [6] transliterate(mode, ar_string, ignore, reverse)
Out[6] 'bisomi Allhi Alra~Hom`ni Alra~Hiyomi'