Sentence examples for machine translation module from inspiring English sources

Afterwards, the sequence of words is automatically translated (by a machine translation module) into a sequence of glosses (textual representation in LIBRAS) that is encoded (by an encoding module) along with synchronization information and is then transmitted through a communication channel.

The machine translation module receives the BP sentences and translates them into a sequence of glosses in LIBRAS.

The machine translation module is used by the LIBRAS translator component to convert a textual representation from BP to a textual representation (sequence of glosses) in LIBRAS.

Fig. 5 Class diagram of machine translation module.

Finally, the list (sequence) of glosses generated by the machine translation module is used by the encoding module to generate the encoded messages, i.e., the SCM and SDM messages, according to module described in Sect.

Since prepositions and articles, for example, are later removed by the machine translation module (see Sect. 3.1.1), the prepositions and articles misclassifications probably have no effect on the quality of translation.

The encoding module is responsible for encoding the sequence of glosses and the synchronization information generated by machine translation and synchronization modules, respectively.

The machine translation and encoding modules will be detailed in the next subsections.

Google Translate is a server-side machine translation service, which can translate between 80 different languages.

Relatively, typical automatic machine translation system automatically translate given words, phrases, and sentences into another language.

Morrissey [31] proposed an example-based machine translation (EBMT) system for translating text into ISL.