Translate Simple Documents From Another Language Into English

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The Translation Industry has come a long way and is looking apprehensively at the present scenario as business is getting more competitive. The impact of technology is affecting this industry to a large extent. Today the concept of "Machine Translation" or MT is gaining popularity and globalization has really affected the lives and the working style of many translators. Globalization has always been one of the most important aspects of translation and if we carefully look at the present scenario see that competition is tough when establishing new businesses. There is no easy business, and companies need to grow to take advantage of the scale economy, for this, different countries that speak different languages need to be accessed. The translators play an important role here, where their large work output in a short period of time and accurate results are in high demand. This can not be achieved without the help of modern technology. The Computer Aided Translation Software eliminates the toil, the monotonous and repetitive work to boost productivity. Dictating software is also becoming popular, where the translator speaks to the machine and the text is transcribed onto the text editor or even DTP programs. Productivity is the key to stay competitive. Here comes a new type of translation known as Machine Translation, where the entire process of translation is carried out by machines. It is a form where a computer program analysis the source text in one language and creates the corresponding text known as target text in another language without human intervention. Today, MT is rising as a fresh discipline in the ground of studies. It gives an edge over human version as it saves time and money. With machine version you can easily translate a large quantity of documents easily in a much shorter time. In the entire conversion process, initially the main task is assigned to the machine and it analyzes each sentence within the source text. After that it breaks this formation into elements that can be easily translated, and finally replaces the words in the target language to complete the puzzle correctly. The entire procedure completed by machine, can be summed up in the act of breaking the structural components of the source text and then creating the same elements into the target language. There are two main techniques for machine version; Statistics Based Machine Translation (SBMT) and Rules Based Machine Translation (RBMT). Statistical Machine Translation: This method examines a body of pre-existing translations to find if a it exists or not. Based upon word frequency, it also analyzes a huge ratio of formerly created bilingual sentence pairs to find which words in any particular language are most frequently matched with words in the other. Rules-Based Machine Translation: Now as the name suggests this method relies on using linguistic rules for the source and target languages. This method delivers improved outputs in comparison to word-by-word transfer, because it makes the best use of sentence context and can


offer translations that follow the grammar of the target language. In this process, once the sentence has been parsed, a series of set standard regulations are used to rearrange words or in other words modify the formation of the sentence to create a conversion that is grammatically correct for the target language. Currently there are many researches and investigations on machine translations going on and as per recent studies it is estimated that the demand for it will increase in coming years. As per Systran, one of the oldest machine translation companies, MT has the ability to reduce the amount of extra work load for human translators by taking over translations in some restricted subject matters. Machine translation has the ability to deliver better translations results when the domain of disclosure is highly restricted. Though many still consider MT not more than a tool, a useful tool for translating words from one language into another, but as we are living in a technology driven world the call for machine translation will increase.

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Article Source: http://EzineArticles.com/?expert=John_T._Smith

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