نتایج جستجو برای: arabic text classification
تعداد نتایج: 727070 فیلتر نتایج به سال:
A major challenge for statistical machine translation (SMT) of Arabic-to-English user-generated text is the prevalence of text written in Arabizi, or Romanized Arabic. When facing such texts, a translation system trained on conventional Arabic-English data will suffer from extremely low model coverage. In addition, Arabizi is not regulated by any official standardization and therefore highly am...
the mathematical treatises known as ta?r?r al-mutawassi??t, “revision of the middle books”, are a collection of greek and arabic treatises which were re-edited by na??r al-d?n al-??s?. this paper explores the nature of the editorial work ??s? did, showing that it is not a simple rendering of the original text but that it involves major revisions and in fact original additions. for the first tim...
A comprehensive Arabic handwritten text database is an essential resource for Arabic handwritten text recognition research. This is especially true due to the lack of such database for Arabic handwritten text. In this paper, we report our comprehensive Arabic offline Handwritten Text database (KHATT) consisting of 1000 handwritten forms written by 1000 distinct writers from different countries....
The field of speech synthesis or Text-To-Speech has rapidly expanded during last few years due to the wide range of applications that require human-machine interaction. Arabic language, the fourth most spoken language on the globe, has received the attention of the researchers in development of an intelligible and close to natural Text-To-Speech system. Most of the available Arabic Text-To-Spee...
arabic languages is not a foreign language for us as iranins is the language of our religion and islamic culture. thus to protect our religion and culture. we should learn it. because arabic is not our native language. so one way to learn it is through the comparison and contrast of structure and grammatical points of arabic and persian. this issue is very helpful in translating a text. this ar...
The Arabic language is morphologically rich and syntactically complex with many differences from European languages, and this creates a challenge when porting existing annotation tools to Arabic. In this paper, we present an ongoing effort in lexical semantic analysis and annotation of Modern Standard Arabic (MSA) text, a semi automatic annotation tool concerned with the morphologic, syntactic,...
Using Hidden Markov Models Husni A. Al-Muhtaseb, Sabri A. Mahmoud, Information and Computer Science Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia. e-mail: [email protected], [email protected]. and Rami S. Qahwaji Electronic Imaging and media communications department, University of Bradford, Bradford, UK e-mail: [email protected] Abstract Th...
Corresponding Author: Jehad Q. Odeh Alnihoud Department of Compute Science, Al al-Bayt University, Mafraq, Jordan Email: [email protected] Abstract: In this research, we propose a new approach to increase the capacity and enhance the reliability of hiding voice data in Arabic text. Using Kashida to hide bits in Arabic text is one of the most promising approaches in steganography. Unfortunately,...
The development of Language Engineering and Information Retrieval applications for Arabic require availability of sizeable, reliable corpora of modern Arabic text. These are not routinely available. This paper describes how we constructed an 18.5 million word corpus from Al-Hayat newspaper text, with articles tagged as belonging to one of 7 domains. We outline the profile of the data and how we...
Building dialogues systems interaction has recently gained considerable attention, but most of the resources and systems built so far are tailored to English and other Indo-European languages. The need for designing systems for other languages is increasing such as Arabic language. For this reasons, there are more interest for Arabic dialogue acts classification task because it a key player in ...
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