Are you trying to find a good API for language detection? We have a recommendation for you!
In order to achieve sustainable expansion, your company must use some sort of language identification and translation technology if it currently serves (or intends to serve) clients in more than one language.
To reach a larger audience, translating website material is really necessary. The most obvious strategy to boost traffic and customers is to increase the number of qualified clients you have. You might only be serving real customers who speak English at this time. But that might be constrained.
Although some of your clients may speak English, you should be aware that it might not be their native language. Reaching out to and establishing connections with multilingual people is crucial.
Spanish, Chinese, Portuguese, Arabic, German, Japanese, English, Malay, or French are the languages of almost 85% of internet users. According to a Common Sense Advisory poll conducted in 2014, 72% of consumers like websites that are available in their native tongue.
72% of internet users are more likely to make a purchase if the content is in their native language, according to the Common Sense Advisory from 2014. Creating a website in multiple languages will provide your company with widespread visibility.
This is just one of the reasons why using a language detection and translation API is crucial for your business.
What’s language detection?
In order to determine the language of business communications like emails and chats, you can use language detection. With this method, you can pinpoint a text’s language as well as the places where it changes, right down to the individual words. The reason why it’s so important is that these business texts (chats, emails, etc.) can be in several languages. The technique of determining the major language is essential to NLP pipelines because it allows each text to be processed by the appropriate language-specific processes.
To perform this we recommend: Text Translation and Language Detector API.
What is machine translation?
Machine translation (MT) is a computational translation technology that uses programmes to translate text or speech from one language into another.
There are three main types of machine translation:
Rule-based machine translation
Uses comprehensive linguistic rule sets created by linguists to translate text from the source language into the target language.
Statistical machine translation
Identifies the most likely translation for the original text by analyzing already completed translations made by qualified translators.
Neural machine translation
Uses neural networks to “learn” from past translations and from the translations it has already produced in order to continually enhance its output.
While statistical translation can translate full phrases and neural machine translation is able to comprehend the larger context of the content, rule-based translation works on a word-by-word basis.
If you want to detect and translate any language we recommend: 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.
Also published on Medium.