So, with the introduction of Neural Machine Translation in 2017, machine translation made a significant technological advance (NMT). The power of artificial intelligence (AI) increases through neural machine translation, which produces translations using neural networks. Thus, continue reading How To Translate Documents With An API In Only Seconds, today we will tell you about Text Translation and Language Detector API, a tool that will allow you to translate automatically in any language.
How much does neural machine translation improve?
Lionbridge R&D teams estimate that neural machine translation improves 3-7% each year. Our experts analyze improvements using a measurement called editing distance. Edit distance calculates the number of edits a human must make to a machine translation for the final translation to be as good as a human translation.
So, neural machine translation will continue to advance as the demand for translation services increases and machine learning gets better at training neural machine translation engines.
What will drive Neural Machine Translation adoption rates in the future?
Neural machine translation will be adopted on a larger scale in the future as the amount of content that requires localization grows exponentially.
The COVID-19 crisis has accelerated the digital transformation of many businesses, driving the need for more translation services. Additionally, content needs to be more specialized and diverse. These market conditions will drive the use of machine translation for parts of the content, with or without the supervision of human translation.
Supervision of human translation is carried out using machine translation plus post-editing (MTPE), a hybrid between machine translation and traditional human translation. Post-editing follows the machine translation process to improve the quality of the translated text. Our blog discusses when to use machine translation plus post-editing.
The impact of new technologies
Companies can expect to make translation services more accessible, at least for some languages, as a result of neural machine translation. These cost reductions will allow companies to increase the number of markets they target and help them distribute products to these markets more quickly.
A more competitive environment will develop when neural machine translation adoption is accompanied by digital transformation within the global economy. Besides, customers will demand more and more information about products in their own language. Companies will be expected to fulfill this expectation across all of their marketplaces; it won’t be an exception anymore.
Translate Documents With Text Translation and Language Detector API
This API’s goal is to assist you in determining the language of any text you provide it with. Additionally, you will have the option of dynamically translating your preferred texts. Text Translation and Language Detector API is perfect for businesses or users who deal with international traffic. Displaying your content in the language of your choice will help you provide different options for different users. Additionally, translating those texts will assist you in expanding the audience for your content.
What this API receives and what your API provides (input/output)?
Just pass the text that you want to translate or detect the language from. You will be receiving either the language or the new text translated.
If You Want To Learn More About This, Read…
What Is A Text Translation And Language Detector API?
Benefits Of Using Machine Translation For Your Business
Thank You For Reading How To Translate Documents With An API In Only Seconds
Also published on Medium.