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Python implementation [ edit ] # Make sure to install the necessary packages first # pip install --upgrade pip # pip install tensorflow from tensorflow import keras from typing import List from keras.preprocessing.text import Tokenizer sentence = [ "John likes to watch movies.
By 2020, the system had been replaced by another deep learning system based on a Transformer encoder and an RNN decoder. [10] 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]
Apertium wiki (list of language pairs and licence information) Xerox Easy Translator Service (list of language pairs) Bing Translator Language List; Haitian Creole support in Bing/Microsoft Translator; Microsoft Research: Syntactically Informed Phrasal SMT; List of supported languages in Google Translate
The Translate Toolkit is a localization and translation toolkit. It provides a set of tools for working with localization file formats and files that might need localization. The toolkit also provides an API on which to develop other localization tools.
DeepL Translator is a neural machine translation service that was launched in August 2017 and is owned by Cologne-based DeepL SE. The translating system was first developed within Linguee and launched as entity DeepL .
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, ...
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]
To use Google Translator Toolkit first, users uploaded a file from their desktop or entered a URL of a web page or Wikipedia article that they want to translate. Google Translator Toolkit automatically 'pretranslated' the document. It divided the document into segments, usually sentences, headers, or bullets.