نتایج جستجو برای: arabic for non
تعداد نتایج: 10782982 فیلتر نتایج به سال:
Named Entity Recognition for Arabic : Unsupervised adaptation and Systems combination The recognition of Arabic Named Entities (NE) is a potentially useful preprocessing step for many Natural Language Processing Applications, such as Machine Translation. This task is however made very complex by some peculiarities of the Arabic language. In this paper, we present a summary of our recent efforts...
The exceptional degree of ambiguity in the writing system, the rich morphology, the unique word formation process of roots and patterns, and its syntax all contribute to making computational approaches to Arabic very challenging. The non-concatenative morphology of Arabic has spurred the development of sophisticated formalisms and computational engines, as well as produced brute force approache...
We propose a machine learning method for recognizing modern Arabic poems based on the common poetic features of modern Arabic poetry. The poetic features include: rhyming, repetition, use of diacritics and punctuations, and text alignment. The method can classify text documents as poem or non-poem documents with a very high accuracy of 99.81%.
BACKGROUND The Activity of Daily Living (ADL) is an instrument that screens elderly respondents for physical functioning and assesses whether they are dependent or independent in their daily activities. This study demonstrates a translation procedure and obtains the reliability and validity of a translated, Arabic ADL. METHODS The ADL was translated to Arabic through a forward translation met...
Arabic Sign Language (ArSL) is the native language for the Arab deaf community. ArSL allows deaf people to communicate among themselves and with non-deaf people around them to express their needs, thoughts and feelings. Opposite to spoken languages, Sign Language (SL) depends on hands and facial expression to express the thought instead of sounds. In recent years, interest in translating sign l...
A survey of the language resources market clearly shows that the Arabic language is still a stepchild of international R&D efforts in the field of speech recognition. OrienTel for the first time makes an effort to create speech data on a large scale. It does so by profiting from the experience of previous SpeechDat projects and from the European Commission’s policy to embrace non-EU Mediterrane...
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