![]() To address this problem, we introduce a new text effects dataset, TE141K, with 141,081 text effects/glyph pairs in total. ![]() automatic text effects transfer, however, the lack of data limits the capability of transfer models. In recent years, some efforts have been made for. Although text effects are extensively utilized in the design industry, they are usually created by human experts due to their extreme complexity, which is laborious and not practical for normal users. Text effects are combinations of visual elements such as outlines, colors and textures of text, which can dramatically improve its artistry. We have stated the factors of errors and how this accuracy rate can be enhanced. We have tested our system by using some vowelized and non-vowelized text documents, and achieved an accuracy rate of about 93%. We have shown that morphological information is crucially important to effective Arabic name recognition. Although highly deterministic and not taking account of context, the morphological analysis component removes a great deal of morpho-lexical ambiguity yet, has the side-effect of demonstrating that the true difficulties in Arabic morphological ambiguity might be limited to specific contexts. In this project, we have described a system for recognizing names, verbs, particles, and proper names in Arabic language text through a combination of high precision morphological analysis and a subsequent component which recognizes the named entities. Tagged corpora are also useful for detailed quantitative analysis of text. Then, it can be used for many applications such as creating dictionaries and grammars of a language using real language data. ![]() extract grammatical and linguistic information from the corpus. A tagged corpus has more useful information than untagged corpus so, tagged corpus can be used to. ![]() Many automated tagging systems have been developed for English and many other western languages, and for some Asian languages, and have achieved accuracy rates ranging from 95% to 98%. Part-of-Speech tagging is the process of assigning grammatical part-of-speech tags to words based on their context. Of children preferred to listen to a female adult tutoring sound. Further, 2/3 screen line length helped children in reading faster. Size to ease and speed the reading process. ![]() Results indicated that Arab students preferred the use of Simplified Arabic with 14-point font It is used to gather children’s reading preferences, for example, font type/size combination, screen line length, and An electronic story is designed to achieve this Thus, this paper aimed to build a set of design guidelinesįor Arabic e-learning programs designed for seven-to-nine years old children. However, English script design guidelines cannot be directly applied to Arabic script mainlyīecause of difference in the letters occupation and writing direction. Following design guidelines in the e-learning programs’ design process improves both the reading The readability of such electronic resources needs There is more demand to provideĪrab students with electronic resources for knowledge now than before. E-learning education plays an important role in the educational process in the Arab region. ![]()
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