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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. [2] GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [2]
The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.
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 ]
T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [1] [2] Like the original Transformer model, [3] T5 models are encoder-decoder Transformers, where the encoder processes the input text, and the decoder generates the output text.
In September 2016, Google Neural Machine Translation (GNMT) was launched, an end-to-end learning framework, able to learn from a large number of examples. [21] Previously, Google Translate's Phrase-Based Machine Translation (PBMT) approach would statistically analyze word by word and try to match corresponding words in other languages without ...
Lawyers who use free translation tools such as Google Translate may accidentally violate client confidentiality by exposing private information to the providers of the translation tools. [61] In addition, there have been arguments that consent for a police search that is obtained with machine translation is invalid, with different courts ...
Cloud computing revolutionized the translation industry and introduced collaborative translation. Managers, translators, and proofreaders, who previously had traditional CAT tools installed on their desktops, could now login to the same system at the same time, sharing translation memory resources in real-time and collaborating via communication features available in the workspace.
WP:EL#Non-English language content advises against linking to non-English content from articles in the English Wikipedia, but does not forbid it in all cases.Links to machine-translated pages from articles may lead to disputes with other editors, who may feel the quality of translation is insufficient to create a reliable source.
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