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Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate.
Google Translate is a web-based free-to-use translation service developed by Google in April 2006. [12] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation (SMT) service. [12]
Drop-in replacement for Pharaoh, features factored translation models and decoding of confusion networks. Moses for Mere Mortals: Ubuntu Linux: GPL: No fee required: 2014-11-16: Yes: Free open source; based on Moses; translation memories integration. NiuTrans: Cross-platform: GPL: No fee required: 1.1.0: Yes: 300+
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.
The Google Brain team contributed to the Google Translate project by employing a new deep learning system that combines artificial neural networks with vast databases of multilingual texts. [21] In September 2016, Google Neural Machine Translation (GNMT) was launched, an end-to-end learning framework, able to learn from a large number of ...
In 2019 October, Google started using BERT to process search queries. [34] In 2020, Google Translate replaced the previous RNN-encoder–RNN-decoder model by a Transformer-encoder–RNN-decoder model. [35] Starting in 2018, the OpenAI GPT series of decoder-only Transformers became state of the art in natural language generation.
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