In addition, Machine Translation, despite its neural networks, will never be able to think. “I feel so sleepy that I can’t see two” should be translated simply to “I’m exhausted”. In this example, Google Translate fails to recognize a rather popular colloquial expression in the Bulgarian language. Have a look at this attempt to translate a Bulgarian idiom with Google Translate: Indeed, Machine Translation has a hard time recognizing idioms or more colloquial expressions. What’s more, Neural Machine Translation is believed to deal quite well with unknown contexts. Neural Machine Translation relies heavily on data with high quality – if there are mistakes in the data, there will be errors in the output as well. During the training process, neural networks are created through which the engine can translate content. So, if you want to have a Machine Translation engine, you need billions of parallel segments in at least two languages to train your engine. Data is a must when it comes to technologies related to the field of AI and machine learning.
Neural Machine Translation engines, such as Google Translate, can translate long texts into various languages. Google Translate also uses this technology to improve the quality of its translations. In the last few years, the technology of neural networks is widely used for the development of translation engines. Through neural networks, computers can recognize different patterns and, thus, solve certain problems.
Neural networks are inspired by the behavior of the human brain. Neural networks, also known as simulated neural networks (SNNs) or artificial neural networks (ANNs), is a technology related to machine learning and artificial technology (AI). What are neural networks and how do they help? In recent years, the quality and especially the fluency of Machine Translation have improved significantly due to the advent of new technologies. Google Translate, on the other hand, is a translation engine, owned and developed by Google, which is free of charge and works with almost all languages in the world. There is no human input involved in the process. Machine translation refers to the automated translation process of a piece of text from a source language into a target language.
What is machine translation/ google translation?
In the following blog, you will learn everything about machine translation, why you shouldn’t use Machine Translation tools for your business, and the alternatives out there. And while such tools are usually free and can provide you with the needed translation in literally a second, you should stay away from them. Many companies rely on machine translation or google translate for business to provide content in their customers’ local languages. To use Google Translate for business or not - this is the question.
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