How Can Google Translate Your Text With The Help Of AI?

Recently, I was stunned by the fact that Google translated my Spanish texts within a few nanoseconds. It really helped me to finish my Spanish Homework. I fell for it, didn't I? I got motivated to write a blog for all of you. I did quite research about the relation between AI and Google Translator. Let us start learning all about it in detail now!

What is Google Translator?

Google Translator is a free service provided by Google to translate your phrases, words, sentences, web pages, and any text from one language to the other. The word count for languages is over 100. Google translator is a multi-lingual neural machine translation service developed that helps to convert multiple languages. Isn't it magical? You don't have to struggle in any country where you go travel. Google is with you. Google offers a website interface, a mobile app for Android and iOS, and an API that helps developers build browser extensions and software applications. Google Translator's NMT system improves the quality of translation. It uses broader context to deduce the most relevant translation. The outcome is rearranged and adapted to approach grammatically based human language. Its proposed architecture of system learning had first tested on over a hundred languages supported by Google Translate. 

What is Natural Language Processing?

Here, we have another strong concept of translation. NLP is considered the most successful application area for deep learning, despite stories about its failures. NLP allows computers to make sense of and act on human language. 

From 2016, Google Translate suddenly went from producing, on average, 'word salad' with a weird connection to the meaning in the original tongue to emitting polished, coherent sentences more often than not, at least for language pairs such as English-French, English-Chinese, and English-Japanese. Many more languages and their pairs have been added since then. 

How does Google Translate work with AI? 

Google says that it has made progress towards enhancing the quality of translation data. A huge amount of AI Training Datasets has been employed by Google. Did you know Google translates about 150 billion words a day? It follows the techniques like Neural Machine Translation, Rewriting-based Paradigms, and on-device processing. These can be defined as follows:

1. Neural Machine Translation-

Recently, Google said that it has been working on improving translations that are available through its service for nine languages by taking the help of Neural Machine Learning. These improvements have been made in languages like English, Portuguese, French Spanish, Turkish, German, Chinese, Korean, and Japanese. It serves 35 percent of all translations requested by the user through neural networks. Now, Google plans to use the system for all 103 languages. Google is able to use multilingual neural networks across languages that are similar. The best Example of a-like Languages is Korean, Turovsky, and Japanese. 

2. Rewriting-based Paradigms-

A few days back, Google had announced that the release of English-Spanish, Finnish-Hungarian, and Persian-English gender-specific translations in Google Translate that almost have a leverage a new paradigm to address gender bias by rewriting. Google's Research engine software engineer mentioned, “We are committed to further addressing gender bias in Google Translate and plan to extend this work to document-level translation, as well.” He also mentioned, “We’ve made significant progress since our initial launch by increasing the quality of gender-specific translations and also expanding it to 4 more language pairs,” 

3. On-Device Processing-

You need not worry if you go to an unfamiliar country, and you know nothing at all. Google is always there for you. Let me give you good news. The accuracy of Google Translate is 12% better than earlier. It provides enhanced grammar, word choice, sentence structure, and vocabulary on your device. Be it Android, or iOS, Google Translator can take you out of the pic right away! The user who has used offline translation earlier will see a banner on the home screen of the app. This will take them to the offline translation settings screen and allow you to tap the arrow next to the language to download that specific language.

Techniques of AI behind the wheel- 

1. Hybrid Models and Data Miners-

It is basically a translation model architecture. Hybrid models mean a hybrid architecture consisting of a Transformer encoder and a recurrent neural network (RNN) decoder implemented. Generally, in machine translation, encoders encode words and phrases as internal representations the decoder then uses to generate text in the desired language. 

2. Noisy Data-

Next technique for performance boost comes from a modeling method that treats noise in AI Training Data. Google's Team has deployed a system that assigns scores to examples using models trained on noisy data. 

3. Transfer Learning-

Google Had implemented a back-translation scheme that augments parallel Training Data. Here, each sentence in a language is paired with its translation. Fascinating, right? Here, AI Training Data is aligned with synthetic parallel data, such that the large text is natural language but the score is generated by a neural model. Embedding model and performing transfer learning to analyze a movie review data set for sentiment analysis.

Google Translator requires a huge collection of AI Training Data. The quality of this training Data must be high in order to lose the risk of errors and incompletion.

Let Global Technology Solutions help you with the data collection for your natural language processing. Natural Learning process requires caution and attentiveness. Let us make your work easier than always. We can help you with collecting data that reduces Gender Bias in Translation, Translating Foreign Menu with A CNN, and Zero-Shot Translation With NMT. Do you need help with anything else? Shoot it right away! Our team also provides cleaning and processing your AI Training Data. Give it a go! Try GTS now and Enjoy forever!