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, syntactic, morphological, and possibly semantic components, one for each of the two languages, for treating basic words, complex words, sentences and meanings. There is also a transfer component in the MT which is specialized for a particular pair of languages and converts most abstract source representation that can be achieved into a corresponding abstract target representation. 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 system has wider applications and some of the examples of applications of Machine Translation system are Apertium, App Tek, Asia Online, Doc Translator, Google Translate, IdiomaX, Power Translator etc.
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, syntactic, morphological, and possibly semantic components, one for each of the two languages, for treating basic words, complex words, sentences and meanings. There is also a transfer component in the MT which is specialized for a particular pair of languages and converts most abstract source representation that can be achieved into a corresponding abstract target representation. 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 system has wider applications and some of the examples of applications of Machine Translation system are Apertium, App Tek, Asia Online, Doc Translator, Google Translate, IdiomaX, Power Translator etc.
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