نتایج جستجو برای: arabic for non
تعداد نتایج: 10782982 فیلتر نتایج به سال:
persian sea and persian gulf have a historical and geographical background that arabic sources approve their originality since long time ago so that the muslim writers, arabs and non-arabs, repeatedly mentioned these names in their works including historical, geographical and interpretative works and literary sources. in this study, we have tried to search and extract the usage of the terms “pe...
it is obvious that literature means prose and poetry and makes no difference either by arabs or non – arabs. but symbolism in the arabic concept has emerged since the emergence of the dark era’s literature and is loaned from the specific characteristics of dark era’s lives and is based on two elements: brevity and indirect speech. since the symbolism has emerged like a literary school generally...
We present an algorithm for a priori Arabic optical Font Recognition AFR . The basic idea is to recognize fonts of some common Arabic words. Once these fonts are known, they can be generalized to lines, paragraphs, or neighbor non-common words since these components of a textual material almost have the same font. A decision tree is our approach to recognize Arabic fonts. A set of 48 features i...
Morphological analysis is an essential stage in language engineering applications. For the Arabic language, this stage is not easy to develop because the Arabic language has some particularities such as the phenomena of agglutination and a lot of morphological ambiguity phenomenon. These reasons make the design of the morphological analyzer for Arabic somewhat difficult and require lots of othe...
Spam is one of the main problems in emails communications. As the volume of non-english language spam increases, little work is done in this area. For example, in Arab world users receive spam written mostly in arabic, english or mixed Arabic and english. To filter this kind of messages, this research applied several machine learning techniques. Many researchers have used machine learning techn...
Arabic spelling errors occur in different types of documents, such as handwritten by non experienced users, optical character recognition (OCR) documents and machine translated documents. Many researchers had tried to solve this dilemma but till now there is no a radical solution. This paper proposes a hybrid system based on the confusion matrix and the noisy channel spelling correction model t...
An offline recognition system for Arabic handwritten words is presented. The recognition system is based on a semi-continuous 1-dimensional HMM. From each binary word image normalization parameters were estimated. First height, length, and baseline skew are normalized, then features are collected using a sliding window approach. This paper presents these methods in more detail. Some parameters ...
Building a system to extract Arabic named entities is a complex task due to the ambiguity and structure of Arabic text. Previous approaches that have tackled the problem of Arabic named entity recognition relied heavily on Arabic parsers and taggers combined with a huge set of gazetteers and sometimes large training sets to solve the ambiguity problem. But while these approaches are applicable ...
In this article we present Curras, the first morphologically annotated corpus of the Palestinian Arabic dialect. Palestinian Arabic is one of the many primarily spoken dialects of the Arabic language. Arabic dialects are generally under-resourced compared to Modern Standard Arabic, the primarily written and official form of Arabic. We start in the article with a background description that situ...
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