Are you trying to find a good translation and language detection tool and wondering how they work? We have the answer for you!
What Is Machine Translation (MT)? We can define machine translation is the automated, non-human translation of a source text into another language. Machine translation has existed for decades now, yet to the broader public it is still a relatively new idea.
In the late 1960s, SYSTRAN was one of the pioneering businesses to create machine translation systems. During the Cold War, the business worked with the U.S. Air Force to translate intelligence documents. The objective was to have content translated by machines accurately enough for human translators to comprehend it and readily improve the text.
Early machine translation engines employed rule-based techniques, which means they used rules either from dictionaries or created by humans to carry out translations. Since then, language technology has advanced significantly.
What Will Drive Future Adoption Rates of Neural Machine Translation?
Future adoption of neural machine translation will accelerate as the volume of content requiring localization increases dramatically.
The COVID-19 situation has sped up many companies’ digital transformations, increasing demand for translation services. Additionally, content needs to be more specialized and diverse. Due to the current state of the market, certain content will be translated automatically, either with or without human editing.
What Are the Benefits of Machine Translation?
The ideal candidates for unsupervised machine translation, which entails translation without human supervision, are texts that are straightforward and have little visibility. It has typically been used for user-generated material like reviews, forums, and auctions like those on eBay.
In some languages, machine translation is effective for translating straightforward, generic business papers, depending on your quality expectations, content type, and purpose. More businesses can benefit from its growing use.
Some of the benefits you get from using machine translation are:
– The ability to bring content to market faster
– Terminology consistency
– Greater productivity of translators
– Lower cost of translation
It’s crucial to remember that there are only a finite number of translators. As more businesses compete for their services, the market will be less stressed since they will be able to work on more projects because they will be able to spend less time on specific tasks.
In some instances, machine translation can multiply the capabilities of translators by 3-5 times, enabling the localization of more content in less time. Companies will be able to translate more content into more languages because to higher productivity and lower expenses.
Our recommendation for a good translation API is: Text Translation and Language Detector API
With this API you will be able to detect any language from a text and dynamically translate it.
What this API receives and what your API provides (input/output)?
Simply paste the text you want to translate or use to determine the language. Either the revised text or the language translation will be sent to you.
What are the most common uses cases of this API?
For businesses or consumers that deal with international traffic, this API is appropriate.
Also published on Medium.