Microsoft Word Materiallar Full

GOOGLE AS A TRANSLATOR 

 

Polad POLADOV 

Qafqaz and WesternUniversities 

[e-mail] 

Baki/AZERBAIJAN 

 

We all know that Google the giant, search engine has not just tried itself in searching industry but books, voice search 

and so on. But in this thesis I would like to touch upon google as a translator. There are dozens of online translators on the 

net. They not only are useful to translate word but sentences as well, depending on the language. Google also decided to 

take part in this competition in the translation industry if just it can be called. This is the fact that Google couldn’t become 

successful in this sphere, and “very famous” for its wrong translations misinterpretations which most of the time lead to 

general misconceptions in the language. Even in some countries there are victims of google translator. For example in 

Turkey there is Restaurant called “Çay ocağı” in Turkish together with English version “Tea January”. Then another 

example “Dönər evi”translated like “Rounding House”.Businessmen trusting google as search engine also trusted it as 

translator so they decided to get it translated via google translator and stick it on the restaurant or some other facilities they 

own. 

Google is good when translating into English when target language is English and the language being translated from is 

one from EU member countries, such as Italy, Ireland, Poland, Germany, Sweden and so forth. Google translator is good at 

translating words even short sentences from these countries into English language as it has well been programmed in the 

listed languages. Now time to view Google translate, first of all I would like to pinpoint that Google translate is free 

multilingual statistical machine translation service provided by Google Inc. to translate written text from one language into 

another. Statistical machine translation was first introduced by Warren Weaver in 1949, later was  introduced in 1993.This 

statistical machine translation is based upon translations which are generated upon statistical models and it contrasts with 

machine translation and example-based machine translation. Statistical machine translators use the words which are often 

used so then translate Ocak as January but not center. Because in Turkish language Ocak in most cases used as a month, 

first month of calendar, so google automatically detects its usage in most circumstances and accepts it as the right choice. I 

think this is what made google translate fail. Because if one word is used in most places doesn’t mean that it is correct 

translation. Besides, being statistical machine translator it ignores most grammar rules. I think Google now doesn’t 

approach the issue seriously because company itself knows that the field itself is vague and wide and difficult. But it is 

possible that the company will tackle the problem in no time even making programs able to translate not only written way 

but oral as well. 

But my advice for translator students studying, amateur and pro translators is that they should be  more careful when 

getting their translations done. Google has the brand name so sometimes it is misunderstood, rational person using it relies 

on it and even using it while learning the languages which can later cause catastrophic results giving wrong translations 

person will learn wrong words and will use it in wrong places. So you are doing search or surfing, Google is the N1 you 

want to translate just keep distance 

---