Machine Translation (MT) has evolved enormously in recent years. In the 1990s, both statistical techniques and Machine Translation united. In 2016, there were significant advances in the science behind AT, which were the seed of Neural Machine Translation (NMT). Keep reading Which API Can Translate Documents In Only Seconds?, so we will tell you about Text Translation and Language Detector API, a tool that will help you take advantage of the new benefits of this type of technology.
So, today, Neural Machine Translation is the best and most popular MT technology. What makes NMT such a popular technology is that the engine learns over time and as it learns it becomes more precise. Of all the MT technologies available today, NMT generates the most accurate translations.
The network for Machine Translation counts with more than a hundred million virtual neurons, all of them inspired by the human brain. The more the engine is trained, the better its translation results. The engine can also be trained on customer-specific data from a Term Base or Translation Memory.
Besides, AT is a rapidly evolving field of research and development. Text Translation and Language Detector API‘s data scientists and engineers use NMT technologies based on open-source solutions to continually assess the rapidly evolving development framework and benchmark the quality of translation results.
As the translation industry advances and more companies adopt new technologies, so too is the use of custom NMT solutions to streamline content workflows.
Translation Memories
A Translation Memory (TM) is a database of language pairs that automatically stores the translated sentences and the corresponding source text during the translation process. A TM speeds up translation, saves money, and helps brands maintain consistency across all of their content. It is common for brands to have different Translation Memories for derived brands, departments, or specific fields of expertise.
When translating a new sentence into the original language, CAT tools can offer translation suggestions for that sentence from the TM database. The translator will also see information about the quality of the translation match. For example, 100% matches indicate an exact match: the original text has already been translated and the saved translation is shown to translators. On the other hand, partial matches (for example, 75-99%) indicate that the stored translation does not exactly correspond to the original text and will most likely need to be edited.
You must be attentive!
So, translation technology is a rapidly evolving field of research and development. In our opinion, language service providers that do not digitally transform their business models will surely disappear.
At The Startup Founder, we spend a lot of time and effort researching about new solutions and improving our blog. The demand for multilingual content is almost unlimited, so the only way to partially satisfy it is to evolve and offer new tools that significantly optimize the translation process.
Check Text Translation and Language Detector API To Translate Documents
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 How To Translate Documents, Read…
What Is A Text Translation And Language Detector API?
Benefits Of Using Machine Translation For Your Business
Thank You For Reading Which API Can Translate Documents In Only Seconds?
Also published on Medium.