I guess you might have used
translator at least once. If you interested in knowing how this for read the
info below.
Machine translation (MT) is automated translation. It is the process by which computer software is used to translate a text from one natural language to another .
Its purpose is to process any translation, human or automated, the meaning of a text in the source language must be fully restored in the target language.
A translator must interpret and analyze all of the elements in the text and know how each word may influence another. This requires extensive expertise in grammar, syntax (sentence structure), meaning
The history of machine translation dates back to world war 2. In 1947, an American mathematician and scientist named Warren Weaver published a memorandum to his peers outlining his beliefs about a computer's capability to render one language into another using logic, cryptography, frequencies of letter combinations, and linguistic patterns. Trador is first company to devolep market . the first commercial machine translation software is made in Kharkov State University the built in phone translator is introduced in 19991 in japan and china. The well known translator google translator is introduced in 2009.
This have two process
-decoding meaning of source text
-recoding meaning in target language
Tough this might sound simple this is really a complex process. To decode the meaning of the orginal text or source text in its entirety, the translator must interpret and analyse all the features of the text, a process that requires in-depth knowledge of the grammar, semantic, syntax, idioms etc., of the source language, as well as the culture of its speakers. The translator needs the same in-depth knowledge to re-encode the meaning in the target language. The problems when it is need to convert a source text into target text exactly as the person from that language would have writen it.
Many approaches made for are made this possible. They are as follws
- RULE BASED MT
-STATIC MT
-HYBRID MT
Machine translation (MT) is automated translation. It is the process by which computer software is used to translate a text from one natural language to another .
Its purpose is to process any translation, human or automated, the meaning of a text in the source language must be fully restored in the target language.
A translator must interpret and analyze all of the elements in the text and know how each word may influence another. This requires extensive expertise in grammar, syntax (sentence structure), meaning
The history of machine translation dates back to world war 2. In 1947, an American mathematician and scientist named Warren Weaver published a memorandum to his peers outlining his beliefs about a computer's capability to render one language into another using logic, cryptography, frequencies of letter combinations, and linguistic patterns. Trador is first company to devolep market . the first commercial machine translation software is made in Kharkov State University the built in phone translator is introduced in 19991 in japan and china. The well known translator google translator is introduced in 2009.
This have two process
-decoding meaning of source text
-recoding meaning in target language
Tough this might sound simple this is really a complex process. To decode the meaning of the orginal text or source text in its entirety, the translator must interpret and analyse all the features of the text, a process that requires in-depth knowledge of the grammar, semantic, syntax, idioms etc., of the source language, as well as the culture of its speakers. The translator needs the same in-depth knowledge to re-encode the meaning in the target language. The problems when it is need to convert a source text into target text exactly as the person from that language would have writen it.
Many approaches made for are made this possible. They are as follws
- RULE BASED MT
-STATIC MT
-HYBRID MT
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