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Postediting
Postediting (or post-editing) “is the process of improving a machine-generated translation with a minimum of manual labour”. A person who postedits is called a posteditor. The concept of postediting is linked to that of pre-editing. In the process of translating a text via machine translation, best results may be gained by pre-editing the source textfor example by applying the principles of controlled languageand then postediting the machine output. It is distinct from editing, which refers to the process of improving human generated text (a process which is often known as revision in the field of translation). Postedited text may afterwards be revised to ensure the quality of the language choices or proofread to correct simple mistakes.
Postediting involves the correction of machine translation output to ensure that it meets a level of quality negotiated in advance between the client and the posteditor. Light postediting aims at making the output simply understandable; full post-editing at making it also stylistically appropriate. With advances in machine translation full postediting is becoming an alternative to manual translation. There are a number of software tools that support post-editing of machine translated output. This includes the Google Translator Toolkit, SDL Trados, Unbabel and Systran.
== Postediting and machine translation ==
Machine translation left the labs to start being used for its actual purpose in the late seventies at some big institutions such as the European Commission and the Pan-American Health Organization, and then, later, at some corporations such as Caterpillar and General Motors. First studies on postediting appeared in the eighties, linked to those implementations. To develop appropriate guidelines and training, members of the Association for Machine Translation in the Americas (AMTA) and the European Association for Machine Translation (EAMT) set a Post-editing Special Interest Group in 1999.
After the nineties, advances in computer power and connectivity sped machine translation development and allowed for its deployment through the web browser, including as a free, useful adjunct to the main search engines (Google Translate, Bing Translator, Yahoo! Babel Fish). A wider acceptance of less than perfect machine translation was accompanied also by a wider acceptance of postediting. With the demand for localisation of goods and services growing at a pace that could not be met by human translation, not even assisted by translation memory and other translation management technologies, industry bodies such as the Translation Automation Users Society (TAUS) expect machine translation and postediting to play a much bigger role within the next few years.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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