It is worth notice that Google is also actively implementing this technology in its translator. They began using deep neural networks, after what the quality of translations provided by the service improved significantly. Now they continue to support translation service with AI sequentially to all lan...
Watch the video to see for yourself: A combination of powerful technologies were employed to make this amazing demonstration possible: Deep Neural Network based processing combined with high performance computing allowed a significant jump in accuracy of speech recognition. The Microsoft Translator technolo...
BioTranslator embedded each GO term using its textual description. BioTranslator embedded each protein using the protein sequence, the protein textual description and the protein network features. For the sequence feature with lengthL, we adopted extra neural network layers from DeepGOPlus to embed th...
Translation The text is then translated into any of thelanguages and dialectssupported by Translator. Translations using the speech translation API (as a developer) or in a speech translation app or service, is powered with the newest neural-network based translations for all the speech-input suppo...
Vilnius University translator: - Deep neural network-based machine translation for Lithuanian-English-Lithuanian, Lithuanian-French-Lithuanian, Lithuanian-Germa…
Star Here are 74 public repositories matching this topic... Language:All Sort:Most stars nidhaloff/deep-translator A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.
Deep neural networks The machine translation technology itself is powered by algorithms running in the cloud, using deep neural network-based translations, which offer more fluid, human-sounding translations than the predecessor technology known as statistical machine translation. Arul Menezes is general ...
Rather than comparing words semantically QNN compares numerical tags which is faster and accurate. In this tagger tags the part of sentences discretely which helps to map bilingual sentences.Shilpa MoreGagandeep .S. DhirDeepak DaiwadneyRamandeep .S. Dhir...
Therefore, the objective of this research is to solve this problem using recurrent neural networks as deep learning modeling with the input of representative feature extraction. This modeling can classify and resolve noise in the dataset. This research utilizes an architecture modification of recurrent ...
Skype Translator uses deep neural network based machine learning voice recognition technology and integrates it with Microsoft Translator’s advanced automatic translation service to break down the language barrier. This initial preview will only be available for Windows 8.1 devices and above and will onl...