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  2. Brunei Malay - Wikipedia

    en.wikipedia.org/wiki/Brunei_Malay

    The Brunei Malay, also called Bruneian Malay (Malay: Bahasa Melayu Brunei; Jawi: بهاس ملايو بروني ‎), is the most widely spoken language in Brunei Darussalam and a lingua franca in some parts of Sarawak and Sabah, such as Labuan, Limbang, Lawas, Sipitang, and Papar.

  3. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Google Translate is a web-based free-to-use translation service developed by Google in April 2006. [12] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation (SMT) service. [ 12 ]

  4. Kamus Bahasa Melayu Brunei - Wikipedia

    en.wikipedia.org/wiki/Kamus_Bahasa_Melayu_Brunei

    Kamus Bahasa Melayu Brunei is a dictionary of Brunei Malay, the native lingua franca in Brunei. [1] It is published by Dewan Bahasa dan Pustaka Brunei . The current publication is in its second edition, and contains more than 15,000 word entries.

  5. Melanau language - Wikipedia

    en.wikipedia.org/wiki/Melanau_language

    Melanau is an Austronesian language spoken in the coastal area of the Rajang delta on northwest Borneo, Sarawak, Malaysia and Brunei. There are several dialects—Mukah-Oya, Balingian, Bruit, Dalat, Lawas, Igan, Sarikei, Segahan, Prehan, Segalang, and Siteng.

  6. Dusun language - Wikipedia

    en.wikipedia.org/wiki/Dusun_language

    Diphthongs: aa ai (sometimes pronounced /e/) ii oi uu Some combinations of vowels do not form diphthongs and each vowel retains its separate sound: ao ia iu ui ue . In some words aa is not a diphthong, and this is indicated by an apostrophe between the two vowels: a'a.

  7. Google Neural Machine Translation - Wikipedia

    en.wikipedia.org/wiki/Google_Neural_Machine...

    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.