نتایج جستجو برای: arabic language
تعداد نتایج: 519538 فیلتر نتایج به سال:
Arabic Numerals are one of the major aspects to be considered in Arabic language processing. In this paper, we present an approach for developing a numeral checker application for the Arabic language, called “Arabic Numerals Checker”. Arabic Numerals Checker is intended to help users achieve competence in writing according to the Arabic numeral rules. It is supported by an explanation facility ...
This paper presents a novel approach for Arabic root generation and lexicon development. The approach provides three algorithms; in the first algorithm Arabic word root is generated using the concept of permutation and combination, the root generator algorithm generates roots by applying permutations to the Arabic alphabetic letters. Then, the second algorithm is used for developing difference ...
Language modeling for large-vocabulary conversational Arabic speech recognition is faced with the problem of the complex morphology of Arabic, which increases the perplexity and out-of-vocabulary rate. This problem is compounded by the enormous dialectal variability and differences between spoken and written language. In this paper we investigate improvements in Arabic language modeling by deve...
Arabic morphological analysis is one of the essential stages in Arabic Natural Language Processing. In this paper we present an approach for Arabic morphological analysis. This approach is based on Arabic morphological automaton (AMAUT). The proposed technique uses a morphological database realized using XMODEL language. Arabic morphology represents a special type of morphological systems becau...
Arabic dialects present a special problem for natural language processing because there are few Arabic dialect resources, they have no standard orthography, and they have not been studied much. However, as more and more written dialectal Arabic is found on social media, natural language processing for Arabic dialects has become an important goal. We present a methodology for creating a morpholo...
The Arabic language has a very rich morphology where a word is composed of zero or more prefixes, a stem and zero or more suffixes. This makes Arabic data sparse compared to other languages, such as English, and consequently word segmentation becomes very important for many Natural Language Processing tasks that deal with the Arabic language. We present in this paper two segmentation schemes th...
The University of Massachusetts took on the TREC10 cross-language track with no prior experience with Arabic, and no Arabic speakers among any of our researchers or students. We intended to implement some standard approaches, and to extend a language modeling approach to handle co-occurrences. Given the lack of resources – training data, electronic bilingual dictionaries, and stemmers, and our ...
each nation has something to proud and glory it, and this is the manner of arabs who proud about their language and good style, and they maintained on their language because they sent their sons into al badaiy desert’ to keep their arabic language, even with we have found in their language some arabic and loan words and from here it was our subject for investigating loan words in the book of ...
The advancement of Information and Communication Technology has impacted all aspects of the human life. It has changed the way we work, travel, conduct business, study and communicate. For the Deaf community, we try to use ICT to improve their quality of life by developing systems that can help them communicate better with the rest of the world and amongst themselves. In this paper we present t...
Arabic Sign Language recognition is an emerging field of research. Previous attempts at automatic vision-based recognition of Arabic Sign Language mainly focused on finger spelling and recognizing isolated gestures. In this paper we report the first continuous Arabic Sign Language by building on existing research in feature extraction and pattern recognition. The development of the presented wo...
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