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Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.
Reverso is a French company specialized in AI-based language tools, translation aids, and language services. [2] These include online translation based on neural machine translation (NMT), contextual dictionaries, online bilingual concordances, grammar and spell checking and conjugation tools.
Google Translate's NMT system uses a large artificial neural network capable of deep learning. [1] [2] [3] By using millions of examples, GNMT improves the quality of translation, [2] using broader context to deduce the most relevant translation.
Telugu is an agglutinative language with person, tense, case and number being inflected on the end of nouns and verbs.Its word order is usually subject-object-verb, with the direct object following the indirect object.
Sri Suryaraya Andhra Nighantuvu is a Telugu language dictionary. It is the most comprehensive monolingual Telugu dictionary. [1] It was published in eight volumes between 1936 and 1974. [2] [3] It was named after Rao Venkata Kumara Mahipati Surya Rau, the zamindar of Pitapuram Estate who sponsored the first four volumes of the dictionary. [4] [5]
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]
In addition to the main user interface of the electronic dictionary, a ‘hotkey’ feature allows the user to click on a word in any program that uses editable text including web browsers and PDF documents, and source code. When a word is clicked, the translation or definition is displayed in a small pop-up window.
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.