<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">------------------------------------------------------------------------<br>Arabic-L: Mon 04 April 2011<br>Moderator: Dilworth Parkinson <<a href="mailto:dil@byu.edu">dil@byu.edu</a>><br>[To post messages to the list, send them to arabic-l@byu.edu]<br>[To unsubscribe, send message from same address you subscribed from to<br><a href="mailto:listserv@byu.edu">listserv@byu.edu</a> with first line reading:<br> unsubscribe arabic-l ]<br><br>-------------------------Directory------------------------------------<br><br>1) Subject: A Python Library for Arabic Word Tagging<br><br>-------------------------Messages-----------------------------------<br>1)<br>Date: 04 April 2011<br>From: <<a href="mailto:taha_zerrouki@gawab.com">taha_zerrouki@gawab.com</a>><br>Subject: A Python Library for Arabic Word Tagging<br><br>A new project:<br><a href="http://naftawayh.sf.net/">http://naftawayh.sf.net</a><br><br>Naftawayh is a python library for Arabic word tagging (word <br>classification) into types (nouns, verbs, stopwords), which is useful in <br>language processing, especially for text mining. Naftawayh works <br>according to the Arabic word structure, and the ability to guess the <br>word class, through certain signs. For example, a word which ends Teh <br>Marbuta, is a noun. Hamza Below Alef, class the word as a noun. We can <br>identify many kins of words, by patterns especially for verbs in present <br>tense and defined words.<br>Who is Naftawayh<br>Demo<br>You can try a demo on Adawat by using the word classification button<br>Applications<br><br> Text mining.<br> Text summarizing.<br> Sentences identification.<br> Grammar. analysis.<br> Morphological analysis acceleration.<br> Extraction of ngrams..<br><br>Files<br><br> Python library Windows<br> source code zip<br><br><div>--------------------------------------------------------------------------<br>End of Arabic-L: 04 April 2011</div></body></html>