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The cucumber blessing (Japanese: きゅうり加持) is an adhiṣṭhāna practised at Shingon Buddhist temples in summer. In a cucumber blessing meeting, the priest and believers together pray that they can pass the season of hot summer in good health like fresh cucumbers . [ 12 ]
Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface , a mobile app for Android and iOS , as well as an API that helps developers build browser extensions and software applications . [ 3 ]
Malayalam: Depending on the religion, one would say ഹരി കൃഷ്ണാ (Hari Krishna) or ഈശോ രക്ഷിക്ക (Eesho rakshikka) "Let Lord Krishna bless you" or "Jesus save you" നന്ദി "Thanks" Maltese: Evviva "May they live." An alternate translation is "Long live _____". Grazzi "Thank you" Mandarin
The GNMT system was said to represent an improvement over the former Google Translate in that it will be able to handle "zero-shot translation", that is it directly translates one language into another. For example, it might be trained just for Japanese-English and Korean-English translation, but can perform Japanese-Korean translation.
The demo showed how Google’s Translate can automatically listen to speech and translate it in real-time, displaying the translated text for the wearer to see and read with ease.
Barakallah in the Arabic calligraphy. The blessings of Allah (be upon you) (Arabic: barak 'Allah بارك الله) is a phrase used by Muslims to express thanks, typically to another person. It is one of many phrases used by Muslims to express thanks.
Eid Mubarak (Arabic: عِيد مُبَارَك, romanized: ʿīd mubārak) is an Arabic phrase that means "blessed feast or festival". [1] The term is used by Muslims all over the world as a greeting to celebrate Eid al-Fitr (which marks the end of Ramadan) and Eid al-Adha (which is in the month of Dhu al-Hijjah).
The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.