Are you trying to find a good API to perform language detection? We have a recommendation for you!
What is language detection? Language detection in natural language processing establishes which natural language the provided content is in. According to computational approaches, this issue can be resolved using a variety of statistical techniques as a special case of text categorization.
Since the majority of NLP applications are often language-specific, only monolingual data is needed. You might need to use a preprocessing method that removes material written in non-target languages in order to create an application in your target language.
Each input example must be properly identified in terms of language.
What are the applications of language detection?
One might have to work with data sets that contain texts in different languages when doing Natural Language Processing (NLP). Because the training data is typically only in one language, many NLP algorithms are only compatible with a limited set of languages. Finding out what language your data set is in before applying extra algorithms to it might be a useful time saver.
The field of web searches serves as an illustration of a Language Detection algorithm. Pages that may be written in one of several different languages will be accessed by a web crawler. If a search engine uses this data, the results will be most beneficial to the user if they are in the same language as the search.
Thus, it is easy to understand why a web developer would wish to incorporate language identification as a search tool when working with content that is available in multiple languages.
Before using actual spam filtering algorithms, spam filtering services that support various languages must determine the language that emails, online comments, and other input are written in. Without such detection, online platforms cannot effectively remove content coming from particular nations, regions, or places thought to be producing spam.
In order to determine the language of business communications like emails and chats, language detection is typically utilized. With this method, you can pinpoint a text’s language as well as the places where it changes, right down to the individual words. Because these business communications (chats, emails, etc.) can be written in several languages, it is predominantly used. 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.
Changing the language used in a chat conversation can sometimes be done by users to avoid being observed or to hide unlawful activities. Detecting the points at which there are switches or changes in the languages can be rather useful in figuring out whether any sort of suspicious activity is taking place.
To perform language detection and translation 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.