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O sacrum convivium" is a Latin prose text honoring the Blessed Sacrament. It is included as an antiphon to the Magnificat in the vespers of the liturgical office on the feast of Corpus Christi. The text of the office has been attributed to Saint Thomas Aquinas. [1] [2]
Scene Text [nb 1] Translation [11] Image 1: EDWARD[US] [nb 2] REX King Edward: 2-3: UBI HAROLD DUX ANGLORUM ET SUI MILITES EQUITANT AD BOSHAM ECCLESIA[M] Where Harold, a leader of the English, and his knights ride to Bosham Church [12]
This template creates an external link to a Google Translate page, which can translate the text from a Web page in a source language to a destination language. Syntax: Syntax: {{Google translation| destination language code | source language code | URL of page to translate | link text }}
Then Chairman and CEO Eric Schmidt (left) with co-founders Sergey Brin (center) and Larry Page (right) in 2008. Google LLC (/ ˈ ɡ uː ɡ ə l / ⓘ GOO-ghəl) is an American multinational corporation and technology company focusing on online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, consumer electronics, and artificial ...
The Holy Bible: A Translation From the Latin Vulgate in the Light of the Hebrew and Greek Originals is a Catholic version of the Bible in three volumes (later published in one volume editions) translated by Monsignor Ronald Knox, the English theologian, priest and crime writer.
The English Wikipedia is the primary [a] English-language edition of Wikipedia, an online encyclopedia. It was created by Jimmy Wales and Larry Sanger on 15 January 2001, as Wikipedia's first edition. English Wikipedia is hosted alongside other language editions by the Wikimedia Foundation, an American nonprofit organization.
Mobile translation may include a number of useful features, auxiliary to text translation which forms the basis of the service. While the user can input text using the device keyboard, they can also use pre-existing text in the form of email or SMS messages received on the user's device (email/SMS translation).
Text-to-image models are trained on large datasets of (text, image) pairs, often scraped from the web. With their 2022 Imagen model, Google Brain reported positive results from using a large language model trained separately on a text-only corpus (with its weights subsequently frozen), a departure from the theretofore standard approach. [18]