What is Google Translate trained on?
What is Google Translate trained on?
Google Translate’s NMT system uses a large artificial neural network capable of deep learning. By using millions of examples, GNMT improves the quality of translation, using broader context to deduce the most relevant translation.
What is Google Translate based on?
In November 2016, Google announced that Google Translate would switch to a neural machine translation engine – Google Neural Machine Translation (GNMT) – which translates “whole sentences at a time, rather than just piece by piece….Google Translate.
| Google Translate homepage | |
|---|---|
| Users | Over 500 million people daily |
When was neural machine translation introduced?
Deep learning applications appeared first in speech recognition in the 1990s. The first scientific paper on using neural networks in machine translation appeared in 2014, followed by a lot of advances in the following few years.
How was Google Translate created?
The idea for Google Translate was first planted in 2004, when co-founder Sergey Brin became frustrated with a translation program the company was licensing after it translated a Korean email into “The sliced raw fish shoes it wishes. Google green onion thing!”
What is Google Translate API key?
The Google Translate API key allows you to connect with the same machine learning that Google uses in its search engine and in Gmail when it encounters text in another language than yours.
How is NLP used in Google Translate?
In addition to the machine translation problem addressed by Google Translate, major NLP tasks include automatic summarization, co-reference resolution (determine which words refer to the same objects, especially for pronouns), named entity recognition (identify people, places, and organizations), natural language …
How was Google Translate built?
Originally centred around statistical machine translation, Google Translate worked by translating the required text first into English as an intermediary step language and then into the target language, cross-referencing the phrase in question with millions of documents taken from official United Nations and European …
What is multilingual machine translation?
Multilingual Neural Machine Translation (MNMT) models are commonly trained on a joint set of bilingual corpora which is acutely English-centric (i.e. English either as the source or target language). While direct data between two languages that are non-English is explicitly available at times, its use is not common.