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Google Translate is a web-based free-to-user translation service developed by Google in April 2006. [11] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation service. [11] The input text had to be translated into English first before ...
1.1.0. Yes. 300+. Competitive performance for Chinese translation tasks; statistical machine translation. Supports phrase-based, hierarchical phrase-based, and syntax-based (string-to-tree, tree-to-string, and tree-to-tree) models for research purposes. OpenLogos. Windows, Linux. GPL or paid initiative taker. No fee required.
Machine translation is use of either rule-based or probabilistic (i.e. statistical and, most recently, neural network-based) machine learning approaches to translation of text or speech from one language to another, including the contextual, idiomatic and pragmatic nuances of both languages.
Google isn't going to sit idly by while Microsoft brings AI-based offline translation to your phone. The company is rolling out internet-free neural machine translation to its Translate apps for ...
Microsoft updated its Translator app to support offline translation on Android back in February, and it's just added the same feature to the iOS version. Like the Android app, the translation ...
GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate.
Yes. Current status. Active. Baidu Fanyi is a service for translating text paragraphs and web pages provided by Baidu . In 2015, Baidu Translation won the second prize of China's National Science and Technology Progress Award. [1]
A number of computer-assisted translation software and websites exists for various platforms and access types. According to a 2006 survey undertaken by Imperial College of 874 translation professionals from 54 countries, primary tool usage was reported as follows: Trados (35%), Wordfast (17%), Déjà Vu (16%), SDL Trados 2006 (15%), SDLX (4%), STAR Transit [fr; sv] (3%), OmegaT (3%), others (7%).
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