نتایج جستجو برای: arabic word endings
تعداد نتایج: 205065 فیلتر نتایج به سال:
In recent years, some people, comparing the word “Ahmad” in a Quranic verse speaking of Jesus’ prophecy about Prophet Muhammad (Qur'an 61:6) with the word “Paraclete” in the Gospel of John (14:26, etc.), have tried to make a connection between them. They have ascribed to Muslims (and even to the Prophet himself) the idea that the word “Paraclete” is a distorted form of the word “periclete</...
In this paper, we introduce a new approach to facilitate the calculation of relevance and noise abatement in information research systems in Arabic language. Our method is to remove morphosemantic ambiguity due to agglutination and lack of vocalization of the Arabic words. To do, we have proposed to transform words to semantic gene. The latter represent an accurate determination of the word mea...
In this paper, we describe the first tool that detects the semantic relation between Arabic named entities, henceforth RelANE. We use various supervised learning techniques to predict the word or the sequence of terms that can highlight one or more semantic relationship between two Arabic named entities. For each word in the sentence, we use its morphological, contextual and semantic features o...
Text processing is a vital step in the information retrieval process, text mining, and natural language processing. It includes several stages, such as normalization, stop word removal, and stemming. Stemming is the process of reducing the lexicon to its root. Due to the different structures and rules in languages, the task of stemming is language-dependent. This research introduces a new stemm...
This paper presents a query-by-example word spotting in handwritten Arabic documents, based on Scale Invariant Feature Transform (SIFT), without using any text word or line segmentation approach, because any errors affect to the subsequent word representation. First the interest points are automatically extracted from the images using SIFT detector, then, we use SIFT descriptor to represent eac...
Nahla A Belal CBAS: Context Based Arabic Stemmer Arabic morphology encapsulates many valuable features such as word’s root. Arabic roots are being utilized for many tasks the process of extracting a word’s root is referred to as stemming. Stemming is an essential part of most Natural Language Processing tasks, especially for derivative languages such as Arabic. However, stemming is faced with t...
We introduce a generic Language Independent Framework for Linguistic Code Switch Point Detection. The system uses the word length, character level (1, 2, 3, 4, and 5)-grams and word level unigram language models to train a conditional random fields (CRF) model for classifying input words into various languages. We test our proposed framework and compare it to the state-of-theart published syste...
We present in this work a new approach for the Automatic diacritization for Arabic texts using three stages. During the first phase, we integrated a lexical database containing the most frequent words of Arabic with morphological analysis by Alkhalil Morpho Sys which provided possible diacritization for each word. The objective of the second module is to eliminate the ambiguity using a statisti...
Automatic off-line Arabic handwriting recognition still faces a big challenges. Due to the cursive nature of the Arabic language, most of published works are based on recognition of a whole word without segmentation. This paper presents a new framework for the recognition of handwritten Arabic words based on segmentation. This framework involves two phases (training phase and testing phase). In...
Arabic has a very rich and complex morphology. Its appropriate morphological processing is very important for Information Retrieval (IR). In this paper, we propose a new stemming technique that tries to determine the stem of a word representing the semantic core of this word according to Arabic morphology. This method is compared to a commonly used light stemming technique which truncates a wor...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید