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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 previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...
Rule-based, deep parser based, paninian framework based; all programs and language data are free and open-source Apertium: Cross-platform (web application), Unix compatible, precompiled packages available for Debian: GPL: No fee required: 3.4.2: Yes: Rule-based, shallow transfer; all programs and language data are free and open source Babylon ...
Google Translator Toolkit automatically 'pretranslated' the document. It divided the document into segments, usually sentences, headers, or bullets. Next, it searched all available translation databases for previous human translations of each segment. If any previous human translations of the segment existed, Google Translator Toolkit picked ...
In 1987, Robert B. Allen demonstrated the use of feed-forward neural networks for translating auto-generated English sentences with a limited vocabulary of 31 words into Spanish. In this experiment, the size of the network's input and output layers was chosen to be just large enough for the longest sentences in the source and target language ...
The second free translation service on the web was Lernout & Hauspie's GlobaLink. [14] Atlantic Magazine wrote in 1998 that "Systran's Babelfish and GlobaLink's Comprende" handled "Don't bank on it" with a "competent performance." [18] Franz Josef Och (the future head of Translation Development AT Google) won DARPA's speed MT competition (2003 ...
As the translation systems are not able to store all native strings and their translations, a document is typically translated sentence by sentence. Language models are typically approximated by smoothed n-gram models, and similar approaches have been applied to translation models, but this introduces additional complexity due to different ...
E.g., in the sentence 'Sally preferred the company of herself', 'herself' is an anaphoric expression in that it is coreferential with 'Sally', the sentence's subject. Context-free language – Controlled natural language – a natural language with a restriction introduced on its grammar and vocabulary in order to eliminate ambiguity and complexity
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