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Dictionary-based machine translation. Machine translation can use a method based on dictionary entries, which means that the words will be translated as a dictionary does – word by word, usually without much correlation of meaning between them. Dictionary lookups may be done with or without morphological analysis or lemmatisation.
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. It is the dominant approach today [ 1]: 293 [ 2]: 1 and can produce translations that rival human translations when ...
Bing Microsoft Translator (previously Live Search Translator, Windows Live Translator, and Bing Translator) [ 19] is a user-facing translation portal provided by Microsoft as part of its Bing services to translate texts or entire web pages into different languages. All translation pairs are powered by the Microsoft Translator, a neural machine ...
By 2020, the system had been replaced by another deep learning system based on a Transformer encoder and an RNN decoder.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]
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Computer-aided translation ( CAT ), also referred to as computer-assisted translation or computer-aided human translation ( CAHT ), is the use of software, also known as a translator, to assist a human translator in the translation process. The translation is created by a human, and certain aspects of the process are facilitated by software ...
Machine translation (MT) is a process whereby a computer program analyzes a source text and, in principle, produces a target text without human intervention. In reality, however, machine translation typically does involve human intervention, in the form of pre-editing and post-editing. [ 97]
There are three different types of rule-based machine translation systems: Direct Systems ( Dictionary Based Machine Translation) map input to output with basic rules. Transfer RBMT Systems ( Transfer Based Machine Translation) employ morphological and syntactical analysis. Interlingual RBMT Systems ( Interlingua) use an abstract meaning.