Transfer-based machine translation is a type of machine translation (MT). It is currently one of the most widely used methods of machine translation. In...
6 KB (783 words) - 09:01, 25 May 2023
of rule-based machine translation systems: Direct Systems (Dictionary Based Machine Translation) map input to output with basic rules. Transfer RBMT Systems...
10 KB (1,228 words) - 04:32, 27 December 2023
Within the rule-based machine translation paradigm, the interlingual approach is an alternative to the direct approach and the transfer approach. In the...
11 KB (1,387 words) - 16:19, 13 August 2023
Machine translation is use of either rule-based or probabilistic (i.e. statistical and, most recently, neural network-based) machine learning approaches...
63 KB (6,999 words) - 20:05, 28 June 2024
Example-based machine translation Rule-based machine translation Comparison of machine translation applications Statistical machine translation Artificial...
20 KB (1,663 words) - 12:14, 13 June 2024
than transfer-based machine translation, but the generated translation is often not to the same quality as transfer-based translation. The translation services...
36 KB (4,561 words) - 10:04, 26 September 2023
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...
17 KB (2,364 words) - 12:53, 31 January 2024
Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language...
127 KB (9,827 words) - 09:45, 1 July 2024
Machine translation (MT) algorithms may be classified by their operating principle. MT may be based on a set of linguistic rules, or on large bodies (corpora)...
7 KB (1,048 words) - 23:15, 16 February 2023
usability evaluation. A typical way for lay people to assess machine translation quality is to translate from a source language to a target language and back...
24 KB (3,294 words) - 10:49, 21 March 2024