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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 ]
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.
A syllabus based on the grammar or structure of a language; often part of the grammar translation method. Guided practice An intermediate stage in language practice - between "controlled practice" (q.v.) and "free practice" (q.v.) activities; this stage features allows for some creativity from the students.
Google Dictionary is an online dictionary service of Google that can be accessed with the "define" operator and other similar phrases [note 1] in Google Search. [2] It is also available in Google Translate and as a Google Chrome extension. The dictionary content is licensed from Oxford University Press's Oxford Languages. [3]
The grammar–translation method is a method of teaching foreign languages derived from the classical (sometimes called traditional) method of teaching Ancient Greek and Latin. In grammar–translation classes, students learn grammatical rules and then apply those rules by translating sentences between the target language and the native language.
The term fumblerules was coined in a list of such rules compiled by William Safire on Sunday, 4 November 1979, [3] [4] in his column "On Language" in The New York Times. Safire later authored a book titled Fumblerules: A Lighthearted Guide to Grammar and Good Usage, which was reprinted in 2005 as How Not to Write: The Essential Misrules of Grammar.
Or one can include one or several example translations in the prompt before asking to translate the text in question. This is then called one-shot or few-shot learning, respectively. For example, the following prompts were used by Hendy et al. (2023) for zero-shot and one-shot translation: [35]
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