منابع مشابه
Arabic Cross-Document NLP for the Hadith and Biography Literature
Recently cross-document integration and reconciliation of extracted information became of interest to researchers in Arabic natural language processing. Given a set of documents A, we use Arabic morphological analysis, finite state machines, and graph transformations to extract named entities Na and relations Ra expressed as edges in a graph G = 〈Na, Ra〉. We use the same techniques to extract e...
متن کاملA System for Graphically Generating Arabic Characters
The Arabic-Urdu-Farsi family of languages is used by over 300 million people. Unlike letters of the Roman alphabet, each Arabic character can assume different shapes which leads to a more compact representation of linguistic information, but which also causes increased difficulties in printing. In previous work IHyder, 1971], a grammatical model was developed which determines the appropriate sh...
متن کاملThe Perceptual Recognition of Stop Consonants in CV vs Word Context in Arabic
The context in which sounds occur exhibits some effect on the perception of these sounds. This study attempts to test the recognition of the Arabic stop consonants /p,b,t,d,k,g/ in two contexts, viz. CV and word. The purpose is to find out whether there is a recognition difference between these two contexts over a range of voice onset time (VOT). A test was conducted in which twenty-one native ...
متن کاملGenerating Arabic Text from Interlingua
In this paper, we describe a grammarbased generation approach for taskoriented interlingua-based spoken dialogue that transforms a shallow semantic interlingua representation called Interchange Format (IF) into Arabic Text that corresponds to the intentions underlying the speakers' utterances. The generation approach is developed primarily within the framework of the NESPOLE! (NEgotiating throu...
متن کاملArabic word descriptor for handwritten word indexing and lexicon reduction
Word recognition systems use a lexicon to guide the recognition process in order to improve the recognition rate. However, as the lexicon grows, the computation time increases. In this paper, we present the Arabic word descriptor (AWD) for Arabic word shape indexing and lexicon reduction in handwritten documents. It is formed in two stages. First, the structural descriptor (SD) is computed for ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Malaysian Journal of Science Health & Technology
سال: 2019
ISSN: 2601-0003
DOI: 10.33102/mjosht.v4i.86