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Malay as spoken in Malaysia (Bahasa Melayu) and Singapore, meanwhile, have more borrowings from English. [1] There are some words in Malay which are spelled exactly the same as the loan language, e.g. in English – museum (Indonesian), hospital (Malaysian), format, hotel, transit etc.
YouTube originally offered videos at only one quality level, displayed at a resolution of 320×240 pixels using the Sorenson Spark codec (a variant of H.263), [29] [30] with mono MP3 audio. [31] In June 2007, YouTube added an option to watch videos in 3GP format on mobile phones. [32]
Estonian-language television channels use subtitles for English, Russian, and other foreign language audio. However, Russian-language TV channels tend to use dubbing more often, since most of them are produced and broadcast from Russia (as opposed to the few Russian-language channels broadcast from Estonia).
The status as a national language is codified in Article 152 of the constitution, [7] further strengthened by the passage of the National Language Act 1963/67. This standard Malay is often a second language following use of related Malayic languages spoken within Malaysia (excluding the Ibanic) identified by local scholars as "dialects" (loghat ...
The Malayic languages (Malay: bahasa-bahasa Melayu, Indonesian: rumpun bahasa Melayik) are a branch of the Malayo-Polynesian subgroup of the Austronesian language family. [1] The most prominent member is Malay , a pluricentric language given national status in Brunei and Singapore while also the basis for national standards Malaysian in ...
The language is pluricentric and a macrolanguage, i.e., several varieties of it are standardized as the national language (bahasa kebangsaan or bahasa nasional) of several nation states with various official names: in Malaysia, it is designated as either Bahasa Malaysia ("Malaysian") or also Bahasa Melayu ("Malay language"); in Singapore and ...
Download as PDF; Printable version; In other projects ... Pages in category "Malay language" The following 27 pages are in this category, out of 27 total.
Google Translate's NMT system uses a large artificial neural network capable of deep learning. [1] [2] [3] By using millions of examples, GNMT improves the quality of translation, [2] using broader context to deduce the most relevant translation. The result is then rearranged and adapted to approach grammatically based human language. [1]
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