Arramooz

Arabic Dictionary for Morphological analysis

Developers: Taha Zerrouki: http://tahadz.com taha dot zerrouki at gmail dot com Collect data manually Mohamed Kebdani, Morroco < med.kebdani gmail.com>

Description

Arramooz Alwaseet is an open source Arabic dictionary for morphological analyze, It can help Natural Language processing developers. This work is generated from the Ayaspell( Arabic spellchecker) brut data, which are collected manually.

This dictionary consists of three parts :

• stop words
• verbs
• Nouns

If you would cite it in academic work, can you use this citation

T. Zerrouki‏, Arramooz Alwaseet : Arabic Dictionary for Morphological analysis,  http://arramooz.sourceforge.net/ https://github.com/linuxscout/arramooz

or in bibtex format

@misc{zerrouki2011arramooz,
  title={Arramooz Alwaseet : Arabic Dictionary for Morphological analysis},
  author={Zerrouki, Taha},
  url={http://arramooz.sourceforge.net/},
  year={2011}
}

API

The python API is available as arramooz-pysqlite

Files formats

Those files are available as :

• Text format (tab separated)
• SQL database
• XML files.
• StarDict files
• Python + Sqlite libray

BUILD Dictionary in multiple format

The source files are data folder as open document speadsheet files, then we can build dictionary with

make

which will generate xml, sql and text files, and package it in releases folder.

To make Hunspell files only

make spell

To make SatrDict files only

make stardict

NOTE: you must use stardict-editor to Compile releases/stardict/arramooz.sdic in babylon format

To modify the version, you can update $VERSION variable in Makefile file.

To clean releases use:

make clean

To modify data or updating data you can open files in data/ in libreoffice calc format, clean releases, and do make.

Stopwords

The Stop words list is developed in an independent project (see http://arabicstopwords.sourceforge.ne)

Data Structure

Data Structures in multiple format (csv, sql, xml) are described in DataStructures.md

• nouns and verbs are described in datastructures.md
• Stop words ( are explained in separate project Arabic Stopwords

Script Files:

1- generate the abstract dictionary from the brut manual dictionary:

python2 $SCRIPT/verbs/gen_verb_dict.py -f $DATA_DIR/verbs/verb_dic_data-net.csv > $OUTPUT/verbs.aya.dic

2- generate the file format (xml, csv, sql) of dictionary from verbs.aya.dic

python2 $SCRIPT/verbs/gen_verb_dict_format.py -o xml -f $OUTPUT/verbs.aya.dic > $OUTPUT/verbs.xml

• [scripts/verbs]

  1- verbdict_functions.py : functions to handle verbs dict used in the generation process

  2- verbs/gen_verb_dict.py: generate the abstract dictionary from the brut manual dictionary

  3- verbs/gen_verb_dict_format.py: generate the file format (xml, csv, sql) of dictionary from verbs.aya.dic

• [scripts/nouns]

  1- noundict_functions.py : functions to handle nouns dict used in the generation process

  2- nouns/gen_noun_dict.py: generate the file format (xml, csv, sql) of dictionary

• [requirement]

  1- libqutrub

  2- pyarabic

Data Files:

This files are used to create ayaspell dictionary for spellchecking arramooz\verbs\data