Google Translate and Babel Fish are far from perfect. As the database of language use grows, the ability to use linguistic information reliably does, too.
The well-known translator used by Yahoo!, Babel Fish, is using a dual system that combines both statistical and linguistic models. Today, machine translations such as Google Translate use probability and statistics theory, analyzing millions of third-party sentences - and applying statistical models - to infer the rules of usage and grammar. Users can click on flags for translation into more than 30 different languages. For example, the website for the city of Newport News, Virginia offers on-demand page translation with Google Translate.
Machine translation tools - such as Google Translate - are becoming increasingly sophisticated and an increasing number of sites use them. There is also a full screen option - to enlarge translated text so it’s more visible - that did not exist in past additions. For voice input, you press the microphone icon next to the text box and say what you want to translate. Users can type in words and phrases and then see or hear them in different languages. Zhu continued, “You can also listen to your translations spoken out loud in one of 23 different languages”. The new app accepts voice input for 15 languages, and “just like the web app - you can translate a word or phrase into one of more than 50 languages,” Google engineer Wenzhang Zhu said in Google Mobile Blog.
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