RChilli Makes Remarkable Improvements in its Products with New Languages

RChilli has announced that it has added more languages that it supports for parsing. The main aim of introducing these languages is to bring greater improvements in the results.

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RChilli

Sep 04, 2020, 09:00 ET


SAN RAMON, Calif., Sept. 4, 2020 /PRNewswire-PRWeb/ -- After the successful launch of its new products, features, and versions, RChilli has announced that it has added more languages that it supports for parsing. The main aim of introducing these languages is to bring greater improvements in the results.

Language has always been a challenge for the recruitment industry. Sorting out resumes of different languages is difficult and time-consuming.

RChilli's resume parser facilitates the parsing of multiple languages. It automatically identifies the languages of the resume and perfectly parses the information. Also, it does not require a separate configuration.

What Are the New Improvements?

  • RChilli has introduced Spanish as a language for its JD parser and Search & Match engine.
  • The company has also implemented Deep Learning modules for certain languages including English, French, German, Polish, and Spanish. This will ensure smarter data extraction in the results.
  • Continuous improvements are also being made in the current languages for RChilli's resume parser.

At present, RChilli is offering parsing in 10 global languages and 28 Europass format languages.

Languages Supported

  • English
  • Portuguese (Brazilian)
  • Spanish
  • German
  • French
  • Russian
  • Croatian
  • Chinese (Simplified)
  • Turkish
  • Dutch
  • 28 Europass format languages

Apart from these changes, RChilli has also added new taxonomies for these languages. The company is using world-class technology to support parsing in these languages.

Talking about this progress, Inder Pal Singh, Product Lead-RChilli, says, "We are proud to share that RChilli is all set to enhance the functionality of its products by introducing parsing in new languages. The implementation of Deep Learning modules trained on these languages will ensure improved data extraction. We have used new algorithms and rule-based approaches for these new languages."

This new addition of languages makes RChilli's products more versatile and capable of bringing remarkable results.

Would you like to see more details about the languages? Please visit https://www.rchilli.com/languages.

To learn more about RChilli, visit rchilli.com.

SOURCE RChilli

Related Links

https://www.rchilli.com