CROSPELL ENGINE, A Natural Language Processing Approach - Documentation
An engine made with multiple approaches in NLP. It covers spell checking, words and topics prediction through CyperSpell algorithm, opinion mining and image processing in NLP.
CROSPELL ENGINE
Mohammad Shaker,Ola Al-Nameh & Mohammad Hasan Serhan Page 4
4.14.3.2.ضؼش٠فِغحسٞجٌشأذحٌٕغرسٌّ١ضزِؼ١ٕس(Opinion passage on a feature)...............................99
4.14.3.3.ضؼش٠فًِقحٞجٌشأ(Opinion holder)........................................................................................99
4.14.3.4.ضؼش٠فٗجٌطٛؾٌٟجٌذالٌٞشأ(Semantic orientation of an opinion).......................................9:
4.14.3.5.ُ١ٍضؼج٢ٌسML.................................................................................................................................9:
4.14.3.6.ضٕم١دج٢سجءجٌّؼطّذٍٝػجٌّ١ضجش.....................................................................................................9:
4.14.4.ُ٘أًجٌّشحو..........................................................................................................................................9;
4.14.5.ٍِخضٌّحعرك....................................................................................................................................9;
4.14.6.جٌطظٕ١فٟجٌكغ...................................................................................................................................:3
4.14.7.جٌططر١ك.................................................................................................................................................:4
4.14.8.١١ضمُجٌؿٍّس...........................................................................................................................................:4
5.ِخططحشَجٌٕظح........................................................................................................................................:9
5.6.جٌطظك١فٟج٦ِالتCyperSpell...............................................................................................................:9
5.7.جٌطؼشفٍٝػجٌٍغحش..................................................................................................................................;2
5.8.ضٛلغجٌىٍّحش..............................................................................................................................................;3
5.9.ضٛلغِٛػٛعفمشز....................................................................................................................................;4
5.10.لحِٛطجٌطشؾّس........................................................................................................................................;5
5.11.جٌطؼشفٍٝػٗضٛؾجٌّشحػشٟفجٌؿٍّس...............................................................................................;5
6.ِخطؾجٌظفٛف...............................................................................................................;8
8.8.ضطر١كٚجؾٙسَجٌّغطخذ............................................................................................................................;8
8.9.جٌططر١كٟج٤عحع:ضطر١كِكشنجٌّؼحٌؽ.............................................................................................;9
8.:.جٌططر١كٟج٤عحع:ضطر١كج٦ظٙحسِكشنجٌّؼحٌؽ........................................................................................;:
8.;.خٛجسصِ١حشMEDٚضؼذ٠الضٙح....................................................................................................................;;
9.ٚجؾٙحشج٦ظٙحس............................................................................................................325
7.6.خٛجسصِ١س(ISRI)....................................................................................................................................325
7.7.خٛجسصِ١س(Porter)...............................................................................................................................326
7.8.خٛجسصِ١سقغحخجٌّغحفسٓ١ذٓ١وٍّط.......................................................................................327
7.9.خٛجسصِ١حشوشفجٌططحذمحشجٌؿضت١س.......................................................................................328
9.32.جٌطؼشفٍٝػٙحشّضٛؾجٌّشحػشٟفجٌؿٍّس.......................................................................................32;
9.33.ئ٠ؿحدجٌىٍّحشج٤لشخ.............................................................................................................................332
9.34.خٛسجسصِ١حشِمحسٔسضمحسخجٌظٛس..................................................................................................332
9.35.جٌطؼشفٍٝػجٌمطغِٓجٌظٛسزجٌّطحذمسٌظٛسزِحأٚجٌّكزٚفس...............................................334
6.
CROSPELL ENGINE
Mohammad Shaker,Ola Al-Nameh & Mohammad Hasan Serhan Page 5
:.جٌّشجؾغ....................................................................................................................................................339
CROSPELL ENGINE
Mohammad Shaker,Ola Al-Nameh & Mohammad Hasan Serhan Page 117
6.انًزاجغ
(1) http://aspell.net/
(2) http://afterthedeadline.com/
(3) The Design of a Proofreading Software Service, Raphael Mudge,
Washington, DC 2003.
(4) http://labs.translated.net/spell-checker/
(5) http://www.languagetool.org/
(6) http://alias-i.com/lingpipe/index.html
(7) http://spellcheckplus.com/
(8) http://www.reverso.net/spell-checker/english-spelling-grammar/
(9) http://www.gingersoftware.com/
(10) http://ghalatawi.sourceforge.net/
(11) http://ayaspell.sourceforge.net/
(12) http://www.qamus.org/
(13) http://qutrub.arabeyes.org/
(14) http://itwadi.com/node/2204
(15) http://radif.sourceforge.net/
(16) http://maskouk.sourceforge.net/index.php
(17) http://tahadz.com/mishkal/
(18) http://www.almaany.com/
(19) http://www.textcat.net/
(20) open.xerox.com/Services/LanguageIdentifier
(21) http://www.basistech.com/language-identifier/
(22) Language Identification of Short Text Segments with N-gram Models
Tommi Vatanen, Jaakko J. V¨ayrynen, Sami Virpioja
Aalto University School of Science and Technology,
Department of Information and Computer Science
Aalto, Finland, 2001.
119.
CROSPELL ENGINE
Mohammad Shaker,Ola Al-Nameh & Mohammad Hasan Serhan Page 118
(23) Techniques for Language Identification for Hybrid Arabic English
Document Images. Ahmed M. Elgammal, Mohamed A. Ismail -
Department of Computer Science, University of Maryland, College
Park, USA
(24) http://www.aurora-systems.com/pages/learning.html
(25) http://www.goqsoftware.com/