Machine translation, some times called as computer aided translation is a component of computational linguistics, that investigates the use of computer software to translate text or speech from one natural language to other language. At the basic level, machine translation performs simple substitution of words in one natural language for words in another, but that alone usually cannot produce a good translation of a text. Application of corpus and statistical techniques is a rapidly growing field that is leading to better translations and handles the differences in the linguistic typology.
There are many variants in the MT, most MT systems which have wider practical application have parts that can be named for the chapters in a linguistic text book. They have lexical, morphological, syntactic, and possibly semantic components, one for each of the two languages, for treating basic words, complex words, sentences and meanings. Interlingua or intermediate language is present in some systems, in which transfer stage is divided in to two stages, at one stage the system translates a source sentence into the interlingua and at the other stage the result obtained in the first stage is translated into an abstract representation in the target language.
Machine translation eliminates the main constraints of human translation that is cost and the capacity. Machine translation can be used by human translation service providers as a way to boost productivity. They also help localization groups to translate more content at lower costs in a timely manner. Machine translation integrates with enterprise applications such as content management, search, eCommerce, websites, eDiscovery, and others.
There are many variants in the MT, most MT systems which have wider practical application have parts that can be named for the chapters in a linguistic text book. They have lexical, morphological, syntactic, and possibly semantic components, one for each of the two languages, for treating basic words, complex words, sentences and meanings. Interlingua or intermediate language is present in some systems, in which transfer stage is divided in to two stages, at one stage the system translates a source sentence into the interlingua and at the other stage the result obtained in the first stage is translated into an abstract representation in the target language.
Machine translation eliminates the main constraints of human translation that is cost and the capacity. Machine translation can be used by human translation service providers as a way to boost productivity. They also help localization groups to translate more content at lower costs in a timely manner. Machine translation integrates with enterprise applications such as content management, search, eCommerce, websites, eDiscovery, and others.
No comments:
Post a Comment