Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 19 of 19 for “"Arabic text"”.
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Arabic text recognition of printed manuscripts. Efficient recognition of off-line printed Arabic text using Hidden Markov Models, Bigram Statistical Language Model, and post-processing.
Arabic text recognition was not researched as thoroughly as other natural languages. The need for automatic Arabic text recognition is clear. In addition to the traditional applications like postal address reading, check verification in banks, and office automation, there is a large interest in …
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Arabic text recognition of printed manuscripts. Efficient recognition of off-line printed Arabic text using Hidden Markov Models, Bigram Statistical Language Model, and post-processing.
Arabic text recognition was not researched as thoroughly as other natural languages. The need for automatic Arabic text recognition is clear. In addition to the traditional applications like postal address reading, check verification in banks, and office automation, there is a large interest in …
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Arabic Language Processing for Text Classification. Contributions to Arabic Root Extraction Techniques, Building An Arabic Corpus, and to Arabic Text Classification Techniques.
… and dynamics of Internet-based resources for Arabic-speaking users is increasing in significance, depth and breadth at highest pace than ever, and thus requires updated mechanisms for computational processing of Arabic texts. Arabic is a complex language and as such requires in depth …
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Arabic Language Processing for Text Classification. Contributions to Arabic Root Extraction Techniques, Building An Arabic Corpus, and to Arabic Text Classification Techniques.
… and dynamics of Internet-based resources for Arabic-speaking users is increasing in significance, depth and breadth at highest pace than ever, and thus requires updated mechanisms for computational processing of Arabic texts. Arabic is a complex language and as such requires in depth …
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Word based off-line handwritten Arabic classification and recognition. Design of automatic recognition system for large vocabulary offline handwritten Arabic words using machine learning approaches.
… recognition of handwritten words in particular. Arabic text classification and recognition is a complicated process compared to Latin and Chinese text recognition systems. This is due to the nature cursiveness of Arabic text. The work presented in this thesis is proposed for word based …
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Minimally-supervised Methods for Arabic Named Entity Recognition
… intervention to identify Named Entities (NEs) in Arabic text. Specifically, we investigate two minimally-supervised methods: semi-supervised learning and distant learning. Our semi-supervised algorithm for identifying NEs does not require annotated training data or gazetteers. It only requires, …
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Constructing Low Resource Approaches to Improve Speech-to-text Translation from Modern Standard Arabic to English
This thesis explores novel approaches to the Arabic-English speech-to-text translation task. First, we construct a novel Modern Standard Arabic speech and English text parallel dataset. Second, we propose a novel framework for leveraging unsupervised machine translation to improve speech-to-text …
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RECONCILING ISLAM AND PHILOSOPHY IN THE VIRTUOUS CITY: REREADING AL-FARABI'S AL-MADINAH AL-FADILAH WITHIN 10TH-CENTURY ISLAMIC THOUGHT
… within the historical and ideological context of tenth-century Islamic thought I analyze al-Madīnah al-Fāḍilah in light of a commentary on the text by Richard Walzer, who is among those scholars who read al-Fārābī as an enemy of Islam who merely reproduces Greek philosophy in Arabic. …
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Using linguistic knowledge in statistical machine translation
… statistical machine translation, focusing on Arabic-English translation as a case study. In the first part, morphological information is used to preprocess the Arabic text for Arabic-to-English and English-to-Arabic translation, which reduces the gap in the complexity of the morphology between …
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Three Essays on Natural Language Processing and Information Extraction with Applications to Political Violence and International Security
… three essays that develop new word order aware text analysis methods to extract information from text and apply these techniques to questions in security studies. Most existing text analysis tools in political science classify or cluster documents, discarding the order of words. In contrast, the …
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Commented translation of an excerpt from Hunayn Ibn Ishaq's epistle to his patron 'Ali ibn Yahya on the translations of Galen.
… a ninth century C.E. letter by the celebrated Arabic translator Hunayn Ibn Ishaq. The epistle is addressed to one of his patrons, 'Ali ibn Yahya, and gives an account of the works of the Greek physician Galen as well as their translations. The thesis is divided into three parts. Part One …
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Novel text entry and mobile interaction techniques for Arabic language users
… entry though better form navigation and improved Arabic text entry. Four improvements were taken into consideration in sequence: (1) minimizing large forms to fit small mobile device screens and easing form navigation process, (2) optimizing Arabic keyboard layout to suit Arabic Language users, …
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Improving Text Classification Using Graph-based Methods
Text classification is a fundamental natural language processing task. However, in real-world applications, class distributions are usually skewed, e.g., due to inherent class imbalance. In addition, the task difficulty changes based on the underlying language. When rich morphological structure and …
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The Goodman psycholinguistic model of English reading and its applicability to Semitic languages
… study investigated the reading process in Arabic by drawing on the Goodman Model of English Reading, and testing its applicability to Semitic languages. Due to the multi-tier nature of Arabic orthography (i.e. letters and diacritics), two questions were addressed: (1) how the …
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Using Text Mining to Identify Crime Patterns from Arabic Crime News Report Corpus
Most text mining techniques have been proposed only for English text, and even here, most research has been conducted on specific texts related to special contexts within the English language, such as politics, medicine and crime. In contrast, although Arabic is a widely spoken language, few mining …
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A morphological-syntactical analysis approach for Arabic textual tagging
… of labeling or classifying each word in written text with its grammatical category or part-of-speech, i.e. noun, verb, preposition, adjective, etc. It is the most common disambiguation process in the field of Natural Language Processing (NLP). POS tagging systems are often preprocessors in many …
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Regional and National Variation in Arabic Handwriting
… explicitly to understand the characteristics of Arabic handwriting. The aim of this study was to determine the presence of any particular features or characteristics that may be common to individuals of a given region or nationality. This was done by obtaining samples of handwriting collected …
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Classification of Arabic extremist web content through Arabic textual analysis
… analysis programs, especially those focusing on Arabic corpus, in an attempt to understand the mentality behind terrorist acts. A contribution in this regard will be made.The division and classification of texts is an important science of linguistics, whether Arabic or otherwise, it summarizes …