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๐Ÿ”ฅ As you know ML has proven its importance in many fields, like computer vision, NLP, reinforcement learning, adversarial learning, etc .. Unfortunately, there is a little work to make machine learning accessible for Arabic-speaking people. Arabic language has many complicated features compared to other languages. First, Arabic language is written right to left. Second, it contains many letters that cannot be pronounced by most foreigners like ุถ ุŒ ุบ ุŒ ุญ ุŒ ุฎุŒ ุธ. Moreover, Arabic language contains special characters called Diacritics which are special characters that help readers pronounced words correctly. For instance the statement ุงู„ุณูŽู‘ู„ุงู…ู ุนูŽู„ูŽูŠู’ูƒูู…ู’ ูˆูŽุฑูŽุญู’ู…ูŽุฉู ุงู„ู„ูŽู‘ู‡ู ูˆูŽุจูŽุฑูŽูƒูŽุงุชูู‡ู containts special characters after most of the letters. The diactrics follow special rules to be given to a certain character. These rules are construct a complete area called ุงู„ู†ูŽู‘ุญู’ูˆู ุงู„ู’ุนูŽุฑูŽุจููŠูู‘. Compared to English, the Arabic language words letters are mostly connected ุงู„ู„ุบุฉ as making them disconnected is difficult to read ุง ู„ ู„ ุบ ุฉ. ArbML helps fixing this by implementing many open-source projects that support Arabic, ML and NLP.

https://github.com/zaidalyafeai/ARBML

#machinelearning #deeplearning #artificialintelligence #nlp

โ‡๏ธ @AI_Python_EN



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๐Ÿ”ฅ As you know ML has proven its importance in many fields, like computer vision, NLP, reinforcement learning, adversarial learning, etc .. Unfortunately, there is a little work to make machine learning accessible for Arabic-speaking people. Arabic language has many complicated features compared to other languages. First, Arabic language is written right to left. Second, it contains many letters that cannot be pronounced by most foreigners like ุถ ุŒ ุบ ุŒ ุญ ุŒ ุฎุŒ ุธ. Moreover, Arabic language contains special characters called Diacritics which are special characters that help readers pronounced words correctly. For instance the statement ุงู„ุณูŽู‘ู„ุงู…ู ุนูŽู„ูŽูŠู’ูƒูู…ู’ ูˆูŽุฑูŽุญู’ู…ูŽุฉู ุงู„ู„ูŽู‘ู‡ู ูˆูŽุจูŽุฑูŽูƒูŽุงุชูู‡ู containts special characters after most of the letters. The diactrics follow special rules to be given to a certain character. These rules are construct a complete area called ุงู„ู†ูŽู‘ุญู’ูˆู ุงู„ู’ุนูŽุฑูŽุจููŠูู‘. Compared to English, the Arabic language words letters are mostly connected ุงู„ู„ุบุฉ as making them disconnected is difficult to read ุง ู„ ู„ ุบ ุฉ. ArbML helps fixing this by implementing many open-source projects that support Arabic, ML and NLP.

https://github.com/zaidalyafeai/ARBML

#machinelearning #deeplearning #artificialintelligence #nlp

โ‡๏ธ @AI_Python_EN

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Telegram hopes to raise $1bn with a convertible bond private placement

The super secure UAE-based Telegram messenger service, developed by Russian-born software icon Pavel Durov, is looking to raise $1bn through a bond placement to a limited number of investors from Russia, Europe, Asia and the Middle East, the Kommersant daily reported citing unnamed sources on February 18, 2021.The issue reportedly comprises exchange bonds that could be converted into equity in the messaging service that is currently 100% owned by Durov and his brother Nikolai.Kommersant reports that the price of the conversion would be at a 10% discount to a potential IPO should it happen within five years.The minimum bond placement is said to be set at $50mn, but could be lowered to $10mn. Five-year bonds could carry an annual coupon of 7-8%.

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