: معلومات عن تطبيقات لغوية بالحاسوب عن اللغة العربية وكل علومها وبحورها
معلومات عن تطبيقات لغوية بالحاسوب عن اللغة العربية وكل علومها وبحورها
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معلومات عن تطبيقات لغوية بالحاسوب عن اللغة العربية وكل علومها وبحورها
<p align="right"><font color="#660000" size="5"><strong>شركة آر دي آي تعتبر واحدة من أفضل عشر شركات عربية أنتجت منتجات تتعلق بتقنية اللغة العربية وما زالت منتجاتها متوفرة في الأسواق والموقع التالي يعطي ملخص لتقنياتهم التي توصلوا لها حتى الآن، ومع الأسف أنه باللغة الإنجليزية فقط </strong></font><br /><a href="http://www.rdi-eg.com/rdi/new/technologies/arabic_nlp.htm">http://www.rdi-eg.com/rdi/new/technologies/arabic_nlp.htm</a><br /><br /></p><table id="table5" cellspacing="5" cellpadding="0" width="100%" border="0"><tr><td><img height="100" src="http://www.rdi-eg.com/rdi/new/images/sub/tech/NLP.jpg" width="150" border="0" /> </td><td width="100%"><br /><p><font face="Tahoma" size="2"><b>Arabic Natural Language Processing</b></font></p></td></tr></table><table id="table4" cellspacing="5" cellpadding="5" width="100%" border="0"><tr><td valign="top" align="center"><h1 style="text-align: center"><a href="http://www.rdi-eg.com/rdi/new/technologies/arabic_nlp_pg.htm#ArabDiac" target="_self"><font size="4">Arab Diac</font></a><font size="4"><sup>©</sup>, </font><a href="http://www.rdi-eg.com/rdi/new/technologies/arabic_nlp_pg.htm#ArabMorpho" target="_self"><font size="4">Arab Morpho</font></a><font size="4"><sup>©</sup>, </font><a href="http://www.rdi-eg.com/rdi/new/technologies/arabic_nlp_pg.htm#ArabTagger" target="_self"><font size="4">Arab Tagger</font></a><font size="4"><sup>©</sup>, </font><a href="http://www.rdi-eg.com/rdi/new/technologies/arabic_nlp_pg.htm#Swift" target="_self"><font size="4">Swift</font></a><font size="4"><sup>©</sup>, </font><a href="http://www.rdi-eg.com/rdi/new/technologies/arabic_nlp_pg.htm#ArabDictions" target="_self"><font size="4">Arab Dictions</font></a><font size="4"><sup>©</sup>,</font></h1><h1 style="text-align: center"><a href="http://www.rdi-eg.com/rdi/new/technologies/arabic_nlp_pg.htm#Arabic Lexical Semantic Analyzer" target="_self"><font size="4">Arabic Lexical Semantic Analysis</font></a></h1><h3 align="justify"><a name="ArabDiac"><font size="4">ArabDiac</font></a><sup><font size="4">©</font></sup></h3><h1 style="text-align: justify"><b><font size="4">RDI 's Automatic Arabic Phonetic Transcriptor (Diacritizer/Vowelizer)</font></b></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 style="text-align: justify"><font size="4">This large-scale technology takes input crude Arabic text and produces the corresponding fully diacritized text with a word accuracy rate up to 96%, which is vital for Arabic speech technologies; e.g. Arabic TTS.</font></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 style="text-align: justify"><font size="4">To achieve such a mission; ArabDiac<sup>©</sup> is built over RDI 's Arabic NLP infrastructure (see below) esp. RDI 's Arabic Morphological Analyzer, Arabic PoS Tagger, Arabic Phonetic Grammar, Arabic Text Normalizer, ..., along with extensive statistical processing.</font></h1><h1 style="text-align: justify"><br /><font size="4">Fore more detailed info, download...</font></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 style="text-align: justify"><font size="4"><img height="20" src="http://www.rdi-eg.com/rdi/new/images/sub/tech/icons/downfile.jpg" width="20" border="0" /> </font><a href="http://www.rdi-eg.com/rdi/new/Downloads/Scientific%20Papers/Anatomy%20of%20a%20Large-Scale%20Arabic%20Phonetic%20Transcriptor,%20and%20 Application%20on%20Arabic%20Text-To-Speech.pdf"><font size="4">Essay on the Anatomy of RDI's Arabic Diacritizer</font></a></h1><h1 style="text-align: justify"><font size="4">(Arabic PDF, 457 KB)</font></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 style="text-align: justify"><font size="4"><img height="20" src="http://www.rdi-eg.com/rdi/new/images/sub/tech/icons/downfile.jpg" width="20" border="0" /> </font><a href="http://www.rdi-eg.com/rdi/new/Downloads/ArabicNLP/Anatomy%20of%20RDI's%20Arabic%20Diacritizer_Arabic .zip"><font size="4">Presentation on the Anatomy of RDI's Arabic Diacritizer</font></a></h1><h1 style="text-align: justify"><font size="4">(WinZipped Arabic material, 3,940 KB)</font></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 style="text-align: justify"><font size="4"><img height="20" src="http://www.rdi-eg.com/rdi/new/images/sub/tech/icons/downfile.jpg" width="20" border="0" /></font><a href="http://www.rdi-eg.com/rdi/new/Downloads/ArabicNLP/Anatomy%20of%20RDI's%20Arabic%20Diacritizer.pps">< font size="4"> Presentation on the Anatomy of RDI's Arabic Diacritizer </font></a></h1><h1 style="text-align: justify"><font size="4">(English PPS, 1,509 KB)</font></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 style="text-align: justify"><font size="4"><img height="20" src="http://www.rdi-eg.com/rdi/new/images/sub/tech/icons/downfile.jpg" width="20" border="0" /> </font><a href="http://www.rdi-eg.com/rdi/new/Downloads/Scientific%20Papers/A%20Formalism%20of%20Arabic%20Phonetic%20Grammar,A nd%20Application%20On%20TheAutomatic%20Arabic%20Ph onetic%20Transcription%20Of%20Transliterated%20Wor ds_NEMLARconferencePaper_9-2004.pdf"><font size="4">Paper on Arabic Phonetic Grammar for Arabic Diacritization</font></a><font size="4"> </font></h1><h1 style="text-align: justify"><font size="4">(English PDF, 140 KB)</font></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 style="text-align: justify"><font size="4"><img height="20" src="http://www.rdi-eg.com/rdi/new/images/sub/tech/icons/downfile.jpg" width="20" border="0" /> </font><a href="http://www.rdi-eg.com/rdi/new/Downloads/Scientific%20Papers/Arabic%20POS%20Tagging%20And%20Applications_NEMLAR %20conference%20Paper_9-2004.pdf"><font size="4">Paper on Arabic PoS Tagging for Arabic Diacritization</font></a><font size="4"> </font></h1><h1 style="text-align: justify"><font size="4">(English PDF, 234 KB)</font></h1><h1 style="text-align: justify"><font size="4"></font></h1><font size="4"><hr align="justify" width="90%" color="#c0c0c0" size="1" /></font></td></tr></table><table id="table4" cellspacing="5" cellpadding="5" width="100%" border="0"><tr><td valign="top" align="center"><h3 align="justify"><a name="ArabMorpho"><font size="4">ArabMorpho</font></a><sup><font size="4">©</font></sup></h3><h1 style="text-align: justify"><b><font size="4"> RDI's Arabic Morphological Analyzer</font></b></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 dir="ltr" style="text-align: justify"><font size="4">This main RDI’s NLP core engine is the basis of Arabic morphological analysis, Arabic PoS tagging, and Arabic Lexical Semantic Analysis. ArabMorpho<sup>©</sup> is a morpheme-based lexical analyzer/synthesizer which distinguishes it from its vocabulary-based rivals which boosts its flexibility and coverage beyond 99.8%. </font></h1><h1 dir="ltr" style="text-align: justify"><font size="4"></font></h1><h1 dir="ltr" style="text-align: justify"><font size="4">After morphological rules are exhausted, deep-horizon dynamic statistical analysis is deployed to realize disambiguation word accuracy rate up to 96%.<br /><br />Fore more detailed info, download...</font></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 style="text-align: justify"><font size="4"><img height="20" src="http://www.rdi-eg.com/rdi/new/images/sub/tech/icons/downfile.jpg" width="20" border="0" /> </font><a href="http://www.rdi-eg.com/rdi/new/Downloads/ArabicNLP/Movie%20on%20Arabic%20Morphological%20Analyzer.exe "><font size="4">Flash movie on RDI's Arabic Morphological Analyzer</font></a><font size="4"> </font></h1><h1 style="text-align: justify"><font size="4">(Arabic Narrated; EXE, 2,400 KB)</font></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 style="text-align: justify"><font size="4"><img height="20" src="http://www.rdi-eg.com/rdi/new/images/sub/tech/icons/downfile.jpg" width="20" border="0" /> </font><a href="http://www.rdi-eg.com/rdi/new/Downloads/Scientific%20Papers/M_Atiyya_MScThesis2000.pdf"><font size="4">Master Technical documentation</font></a><font size="4"> </font></h1><h1 style="text-align: justify"><font size="4">(English PDF, 1,992 KB)</font></h1><font size="4"><hr align="justify" width="90%" color="#c0c0c0" size="1" /></font></td></td /></tr></table><table id="table4" cellspacing="5" cellpadding="5" width="100%" border="0"><tr><td valign="top" align="center"><h3 align="justify"><a name="ArabTagger"><font size="4">ArabTagger</font></a><sup><font size="4">©</font></sup></h3><h1 style="text-align: justify"><b><font size="4">RDI's Arabic Part-of-Speech Tagger</font></b></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 style="text-align: justify"><font size="4">Arabic PoS tags are the essential input features for many fundamental Arabic NLP process; e.g.'s Syntax Analysis, Diacritization, .. </font></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 style="text-align: justify"><font size="4">The underlying compact Arabic PoS tags set of RDI's ArabTagger<sup>©</sup> is originally designed to comply with Arabic syntax and morphology, which is a major distinctive feature of this engine over its rivals. <br /><br />Fore more detailed info, download...</font></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 style="text-align: justify"><font size="4"><img height="20" src="http://www.rdi-eg.com/rdi/new/images/sub/tech/icons/downfile.jpg" width="20" border="0" /> </font><a href="http://www.rdi-eg.com/rdi/new/Downloads/Scientific%20Papers/Arabic%20POS%20Tagging%20And%20Applications_NEMLAR %20conference%20Paper_9-2004.pdf"><font size="4">Paper on Arabic PoS Tagging</font></a><font size="4"> </font></h1><h1 style="text-align: justify"><font size="4">(English PDF, 234 KB)</font></h1><font size="4"><hr align="justify" width="90%" color="#c0c0c0" size="1" /></font></td></tr><tr><td valign="top" align="center"><h3 align="justify"><a name="Swift"><font size="4">Swift</font></a><sup><font size="4">©</font></sup></h3><h1 style="text-align: justify"><b><font size="4">RDI's Arabic Text Search Engine</font></b></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 style="text-align: justify"><font size="4">This is RDI's Arabic derivative text search engine based on RDI's Arabic morphological analyzer; ArabMorpho<sup>©</sup>. Search may be done at the root, pattern, or word level, where single and multiple search queries with various neighborhoods are possible.<br /><br />While Swift<sup>©</sup> Indexing Server can index up to 4G words, Swift<sup>©</sup> Searching Server can handle multi-threaded search queries. SDK's are available for web, MS-Windows, Linux, .., and any other OS's.<br /><br />Fore more detailed info, download...</font></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 style="text-align: justify"><font size="4"><img height="20" src="http://www.rdi-eg.com/rdi/new/images/sub/tech/icons/downfile.jpg" width="20" border="0" /> </font><a href="http://www.rdi-eg.com/rdi/new/Downloads/ArabicNLP/Movie%20on%20Arabic%20Text%20Search%20Engine.exe"> <font size="4">Flash movie on RDI's Arabic Text Search Engine</font></a><font size="4"> </font></h1><h1 style="text-align: justify"><font size="4">(Arabic Narrated; EXE, 5,636 KB)</font></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 style="text-align: justify"><font size="4"><img height="20" src="http://www.rdi-eg.com/rdi/new/images/sub/tech/icons/downfile.jpg" width="20" border="0" /> </font><a href="http://www.rdi-eg.com/rdi/new/Downloads/Swift2WhitePaper.doc"><font size="4">White paper on Swift</font></a><font size="4"><sup>©</sup>. </font></h1><h1 style="text-align: justify"><font size="4">(English/Arabic DOC, 112 KB) </font></h1><font size="4"><hr align="justify" width="90%" color="#c0c0c0" size="1" /></font></td></tr><tr><td valign="top" align="center"><h3 align="justify"><a name="ArabDictions"><font size="4">ArabDictions</font></a><sup><font size="4">©</font></sup></h3><h1 style="text-align: justify"><b><font size="4">RDI's Arabic Lexical Dictionaries</font></b></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 style="text-align: justify"><font size="4">Given a text that is morphologically analyzed using ArabMorpho<sup>©</sup>, the root, the pattern, the prefix, and the suffix of any word of this text can be automatically bound to its corresponding dictionary entry. </font></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 style="text-align: justify"><font size="4">ArabDictions<sup>©</sup>'s rich Arabic dictionary entries make it easier for readers - esp. the junior - to understand Arabic text at all levels.</font></h1><h1 style="text-align: justify"><br /><font size="4">Fore more detailed info, download...</font></h1><h1 style="text-align: justify"><font size="4"></font></h1><h1 style="text-align: justify"><font size="4"><img height="20" src="http://www.rdi-eg.com/rdi/new/images/sub/tech/icons/downfile.jpg" width="20" border="0" /> </font><a href="http://www.rdi-eg.com/rdi/new/Downloads/ArabicNLP/Sample%20movie%20on%20ArabDictions.exe"><font size="4">Flash movie on RDI's Arabic Dictionaries</font></a><font size="4"> </font></h1><h1 style="text-align: justify"><font size="4">(Arabic Narrated; EXE, 2,416 KB)</font></h1><font size="4"><hr align="justify" width="90%" color="#c0c0c0" size="1" /></font></td></td /></tr><tr><td valign="top" align="center"><h3 align="justify"><a name="Arabic Lexical Semantic Analyzer"><font size="4">Arabic Lexical Semantic Analyzer</font></a><font color="#000000" size="4"> (Under Development)</font></h3><h1 style="text-align: justify"><font size="4">Based on RDI's Arabic NLP infrastructure presented above, this work aims to produce a system able to factorize input Arabic text into Lexical Semantic Tags stream drawn from a limited semantic tags set. Moreover, such a system will be able to semantically relate the words in that input Arabic text in both the forward and backward directions. These functions should have a positive impact on Arabic text mining applications, as the mining algorithms will then deal with linguistic entities population having sharpened statistical correlations and reduced dimensionality.<br /><br />This work is being developed as part of the Arabic </font><a href="http://www.rdi-eg.com/rdi/new/projects/TextMining.htm" target="_top"><font size="4">Text Mining project</font></a><font size="4"> sponsored by the Egyptian MCIT's Data Mining Center of Excellence established in Sept. 2005.</font> </h1><hr align="justify" width="90%" color="#c0c0c0" size="1" /></td></td /></tr></table><p align="right"><font color="#660000" size="5"><strong>من ملاحظاتي على عملهم أن المعالجة للغة العربية من وجهة نظري عرجاء، وذلك بسبب أن عملية المعالجة اللغوية على اللغة العربية كان تأثير المعالجة وفق علم اللغويات وفق المعايير الغربية عاليا ولو أنه أقل من تأثيره على منتجات الشركات العربية الأخرى التي رأيت منتجاتها بالمقارنة في هذا الموضوع،</strong></font></p>تعليق
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معلومات عن تطبيقات لغوية بالحاسوب عن اللغة العربية وكل علومها وبحورها
<p align="left"><font color="#660000" size="5"><strong>هذا الخبر وهو نقطة من بحر يبين جانب من التعاون التقني الاستثماري في واحدة من الدول الغربية ويظهر مقدار الاهتمام وما يتم صرفه على أي شيء له علاقة باللغة العربية وبقية اللغات التي تستخدم الحرف العربي في تمثيلها وفك طلاسمها تقنيا، وللعلم هذا يحدث في غالبية دول العالم التي لها ميزانيات بحثية وليس فقط بالغرب، وربما استطيع القول الآن أن ما تم عمله على اللغة العربية من أبحاث وإنتاج عدد من التطبيقات اللغوية قل نظيرها على المستوى العالمي بعد اللغة الإنجليزية إن لم تكن تعدتها بسبب الحاجة الأمنية وكثرة استخدام تقنية الإنترنت، فلا يوجد شيء في العالم يتم الصرف عليه بدون حدود كما هو حال أي شيء له علاقة بالأمن،<br /><br /> فسبحان الله رب ضارة نافعة، <br /><br />والسؤال هنا هل نكون من الذكاء للاستفادة من ذلك؟ على الأقل علميا وماديا وتقنيا وأكاديميا؟ <br /><br />أتمنى ذلك</strong></font><br /><img alt=" " src="http://www.wataonline.net/site/uploads/smil3dbd4e5e7563a.gif" /><img alt=" " src="http://www.wataonline.net/site/uploads/smil3dbd4e4c2e742.gif" /><img alt=" " src="http://www.wataonline.net/site/uploads/smil3dbd4e5e7563a.gif" /><img alt=" " src="http://www.wataonline.net/site/uploads/smil3dbd4e4c2e742.gif" /><img alt=" " src="http://www.wataonline.net/site/uploads/smil3dbd4e5e7563a.gif" /><a href="http://www.novodynamics.com/press/pr_inqtel_agree.htm"><br /><br />http://www.novodynamics.com/press/pr_inqtel_agree.htm</a></p><h1 class="title" align="left">NovoDynamics® Announces a Multi-Million Dollar Strategic Investment and Technology Advancement Agreement with In-Q-Tel</h1><div class="text" style="padding-top: 0px" align="left">Apr 2, 2007<br />Ann Arbor, MI</div><div class="text" align="left">ANN ARBOR, Michigan, April 2, 2007 - NovoDynamics Inc., the creator of VERUS™, the most advanced Middle Eastern optical character recognition (OCR) software, announced today that it has entered into a multi-million dollar strategic investment and technology advancement agreement with In-Q- Tel, the independent strategic investment firm that identifies innovative technologies to support the mission of the U.S. Intelligence Community. In-Q- Tel's funding strengthens NovoDynamics' ability to rapidly advance its OCR and page processing capabilities and to develop exciting new digital content recognition products for commercial and government markets in Asia and Europe.</div><div class="text" align="left">OCR technology converts images of printed information into editable and searchable computer text. NovoDynamics' OCR software effectively extracts data from complex and degraded pages and recognizes challenging languages, such as Arabic and Persian.</div><div class="text" align="left">"In-Q-Tel's investment allows NovoDynamics to accelerate its development of innovative digital content capture solutions for Asian and Middle Eastern markets," according to David Rock, President and CEO of NovoDynamics. "Utilizing our significant expertise in digital content recognition, we are very excited about the upcoming release of new technological advances that will allow our global customers to retrieve information that has never before been accessible. These advances are an important step towards accomplishing our corporate strategy to make all of the world's printed documents and materials electronically accessible."</div><div class="text" align="left">VERUS™, NovoDynamics' advanced OCR solution, provides the most accurate Middle Eastern language optical character recognition in the world. It recognizes Arabic, Persian (Farsi, Dari), and Pashto languages, including embedded English and French. It automatically detects and cleans degraded and skewed documents, automatically identifies a page's primary language, recognizes a page's fonts without manual intervention, determines whether a page contains primarily handwritten or machine printed text, and allows extracted information to be converted into PDF files. VERUS™ also offers an application programming interface (API) that allows third-party companies to integrate its capabilities into their products and supports machine translation plug-ins that allow customers to automatically translate extracted information to other languages.</div><div class="text" align="left">"NovoDynamics is the leader in extracting information from challenging sources," said Troy M. Pearsall, In-Q-Tel Executive Vice President for Technology Transfer. "Since In-Q-Tel's initial investment in NovoDynamics in 2003, major commercial, government, and academic organizations have adopted the company's innovative products to address their data acquisition and retrieval needs. We are excited about our continued partnership with NovoDynamics, and we look forward to the commercial opportunities associated with their strategy to extract information from documents in additional languages."</div><div class="text" align="left"><strong><br /><br />About In-Q-Tel</strong></div><div class="text" align="left">In-Q-Tel is the strategic investment firm focusing on identifying and delivering innovative technologies to the U.S. Intelligence Community. Launched by the CIA in 1999 as a private, independent, not-for-profit organization, In-Q-Tel's mission is to identify and work with companies developing cutting-edge technologies that can serve the national security interests of the United States. Working from an evolving strategic blueprint defining the Intelligence Community's critical technology needs, In-Q-Tel engages with entrepreneurs, growth companies, researchers, and other investors to deliver technologies that provide superior capabilities for the CIA and the larger Intelligence Community.</div><div class="text" align="left">In-Q-Tel concentrates on three broad commercial technology areas, including software, infrastructure and material sciences. To date, In-Q-Tel has engaged with more than 90 companies and delivered more than 140 technology solutions to the Intelligence Community. To learn more about In-Q-Tel, please visit <a href="http://www.in-q-tel.org/">http://www.in-q-tel.org</a>.</div><div class="text" align="left"><strong><br /><br />About NovoDynamics</strong></div><div class="text" style="padding-bottom: 70px" align="left">NovoDynamics' global solutions remove the digitization barriers typically created by challenging languages and degraded documents and fill a growing need within the private and public sectors for advanced data acquisition and retrieval technologies. For more information, please visit <a href="http://www.novodynamics.com/">http://www.novodynamics.com</a>.</div>تعليق
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معلومات عن تطبيقات لغوية بالحاسوب عن اللغة العربية وكل علومها وبحورها
<font color="#660000" size="5"><strong>برنامج للتحميل والاستخدام صرف، مع الأسف بالرغم من أنه برنامج يتعلق باللغة العربية والصيغ البنائية ولكن جميع المعلومات باللغة الإنجليزية، وهذه احدى المعوقات من وجهة نظري التي يجب أن نتجاوزها، على الأقل احتراما للغة العربية كان يجب أن يكون هناك غير صور الشاشات في الموقع تحوي اللغة العربية، خصوصا وإنه على ارتباط بجامعة الدول العربية بطريقة أو أخرى</strong></font><br /><br /><a href="https://sourceforge.net/projects/sarf">https://sourceforge.net/projects/sarf</a><br /><br /><br /><br /><strong>Posted By:</strong> haythammb <br /><strong>Date:</strong> 2007-08-26 01:13 <br /><strong>Summary:</strong> <a href="https://sourceforge.net/forum/forum.php?forum_id=729347"><font color="#003399">sarf 1.0 features</font></a> <p>1. System Components <br />The system has two points of view: linguistic and software. <br />1.1. Linguistic Point of View <br />The system has two main functions: derivation and conjugation. <br />1.1.1. Derivation <br />• Abstract verbs: specifying their conjugation categories, indications of their transitivity and intransitivity, and their types as relates to strength and weakness. <br />• Augmented verbs: specifying their conjugation measures, and indications of their transitivity and intransitivity. <br />• Derivative nouns. <br />• Vocal (non-standard) infinitives. <br />• Standard infinitives. <br />1.1.2. Conjugation <br />• Abstract and augmented verbs (triple and quadruple) by assigning them to the pronouns, in present, past and imperative tenses, in passive and active voice. <br />• Derivative nouns and infinitives: singular, dual, and plural (masculine and feminine) in nominative, accusative, and genitive cases. <br />1.2. Software Point of View <br />The software system consists of two parts: Database and Program. <br />1.2.1. Database <br />It contains the linguistic data items which the system needs. The data is stored in files of XML format. These XML files are divided according to the triple and quadruple roots, in such a using as to simplify their editing and modification. XML files can be edited or modified in any text editor, without having to use the Database Management System (DBMS), or to refer to the programmer because they are text files, designed in hierarchical structure which helps in specifying the target dictionary. Reading and editing these files are possible conformably with the open source principles. <br /> <br />1.2.2. The Program <br />The required system will be designed and implemented using Java programming language. <br /> <br />2. System Features <br />2.1. Linguistic Features <br />• Covers all Arabic roots (over 7000 triple and quadruple roots). <br />• Embraces all the verbs (over 24,000 triple and quadruple verbs). <br />• Able to generate all derivative nouns (about 100,000), and standard infinitives (over 16,000), depending on the derivation rules. <br />• Encompasses all non-standard infinitives (over 14,000). <br />• Considers all syntactical and morphological parts related to verb conjugation and noun derivation, such as common conjugation rules. <br />• Able to observe the Hamzah (Arabic Character) rules in both nouns and verbs. <br />• Words complete adjusting according to vowelization. <br />2.2. Software Features <br />• Database is an independent of the program. <br />• The ability to modify the Database (either by adding, updating, or deleting). <br />• The possibility of extending the program to include new levels of Arabic Language Processing. <br />• User friendly by providing menus and options. <br />• The system can be used on any operating system like Windows, Linux, Solarix, or MacOS. <br />3. System Output <br />It will be represented in a software library that can be used as a subsystem in any other software system. In addition, it will be provided with many executable versions that can work in the corresponding operating system, to interact with the end-user by the graphical user interface to do the following: <br />• The derivative nouns for the entered root. <br />• Linguistic aspect related to a specific verb. <br />• Verb conjugation tables, which assign the pronouns to verb. <br />• Noun declension tables, which include all morphological and syntactical cases of nouns. <br />4. System Possible Applications <br />• Arabic Language E-Dictionary. <br />• Computer-aided translation (CAT). <br />• Speech synthesizing. <br />• Optical Character Recognition (OCR). <br />• Automated Arabic text vocalization (diacritical marks). <br />• Text error recognition and correction. <br />• Arabic Automatic Reading. <br />• Arabic Automatic Writing. <br />• Arabic language learning and teaching for native speakers and others. <br />5. Organizations Interested In This System <br />• Research centers specialized in Arabic Natural Language Processing (ANLP). <br />• Education ministries in the Arab countries. <br />• Software companies that work in the development of ANLP. <br />• Arabic academies in the Arab World. <br /> </p>تعليق
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