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An example of a word-based translation system is the freely available GIZA++ package , which includes the training program for IBM models and HMM model and Model 6. [7] The word-based translation is not widely used today; phrase-based systems are more common. Most phrase-based systems are still using GIZA++ to align the corpus [citation needed].
[21]: 107 [1]: 39 [2]: 7 This problem was addressed when Bahdanau et al. introduced attention to their encoder-decoder architecture: At each decoding step, the state of the decoder is used to calculate a source representation that focuses on different parts of the source and uses that representation in the calculation of the probabilities for ...
A round-trip translation is not testing one system, but two systems: the language pair of the engine for translating into the target language, and the language pair translating back from the target language. Consider the following examples of round-trip translation performed from English to Italian and Portuguese from Somers (2005):
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Bernard Vauquois' pyramid showing comparative depths of intermediary representation with interlingual machine translation at the peak, followed by transfer-based, then direct translation. Transfer-based machine translation is a type of machine translation (MT). It is currently one of the most widely used methods of machine translation.
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] GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [2]
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The grammar–translation method is a method of teaching foreign languages derived from the classical (sometimes called traditional) method of teaching Ancient Greek and Latin. In grammar–translation classes, students learn grammatical rules and then apply those rules by translating sentences between the target language and the native language.