Since computer utilization is expanding, for both social and trade ranges, secure communications through channels got to be an exceptionally critical issue. Information hiding away could be a strategy to get a secure communication medium and securing the data amid transmission. Text documents have very less redundant information as compared to the images and audio, therefore, text steganography is most challenging. This paper aims to improve “text steganography based on Unicode of characters in multilingual” by design new font with special properties for purposes of hiding data. Furthermore, this method based on making the same glyphs for the multiple codes, the Set of High-Frequency Letters called SHFL in the English language was chosen for the embedding process. The hiding method replaces the code of English symbol with other code that has the same glyph exactly. Two bits are hidden at once, utilizing glyph1 for hiding 00 and utilizing glyph2, glyph3, and glyph4 for hiding 01, 10, and 11. The improvement increases the steganography capacity, transparency and improves the security and robustness of the text stego file.
The Iraqi dialect is one of the most beautiful dialects in the Arabic world. It contains a wide variety of vocabulary as well as phrases spoken in Iraqi population. The aim of this paper is to create, analysis, and translate of Iraqi Colloquial dialect corpus. The hardest step is to create the Iraqi corpus that were generated by writing of Iraqi films or stories and published them in GitHub. There are two phases: analyzing, which implement pre-processing includes: tokenization, remove stop words, remove punctuation, and remove duplicated words. The purpose of analyzing process is to collect the words to make Iraqi-Arabic-English dictionary. In the second phase is: testing, which involve searching about Iraqi word, translating it to Standard Arabic and English, adding it if not exist, predicting Iraqi words that depends on similar in spell, getting Iraqi synonyms words, and display the whole dictionary. New method was suggested to cover the problem of unofficially written for spoken dialects, as well as new algorithm to find the Iraqi words synonyms.
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