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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]
Yandex Translate (Russian: Яндекс Переводчик, romanized: Yandeks Perevodchik) is a web service provided by Yandex, intended for the translation of web pages into another language. The service uses a self-learning statistical machine translation , [ 3 ] developed by Yandex. [ 4 ]
The toolkit was originally developed as the mozpotools by David Fraser for Translate.org.za. Translate.org.za had focused on translating KDE which used Gettext PO files for localization. With an internal change to focus on end-user, cross-platform, OSS software, the organisation decided to localize the Mozilla Suite. This required using new ...
The Institut Français d'Indonésie or Institut Français Indonesia is an Institut français in Indonesia. It is a French public institution attached to the French Foreign Ministry. The promotion of French culture and language overseas is its main mission. Its main location is in Jakarta.
Bahasa Indonesia is sometimes improperly reduced to Bahasa, which refers to the Indonesian subject (Bahasa Indonesia) taught in schools, on the assumption that this is the name of the language. But the word bahasa (a loanword from Sanskrit Bhāṣā ) only means "language."
Interfaith greetings (Indonesian: Salam Lintas Agama), sometimes referred as Bhinneka greetings (Indonesian: Salam Kebhinekaan), [1] are often used to open formal meetings in Indonesia. The phrases combine the greeting phrases of several or all major religions in Indonesia.
Indonesian slang vernacular (Indonesian: bahasa gaul, Betawi: basa gaul), or Jakarta colloquial speech (Indonesian: bahasa informal, bahasa sehari-hari) is a term that subsumes various urban vernacular and non-standard styles of expression used throughout Indonesia that are not necessarily mutually intelligible.
Use of a "do-not-translate" list, which has the same end goal – transliteration as opposed to translation. [39] still relies on correct identification of named entities. A third approach is a class-based model. Named entities are replaced with a token to represent their "class"; "Ted" and "Erica" would both be replaced with "person" class token.