Can we get documents based on Language Known?

Yes, you can get documents based on the "Language Known" field using RChilli’s Resume Parser. Here's how it works and how to implement it:

Feature Availability: Language Detection

RChilli’s Resume Parser includes the capability to extract languages known by a candidate from the resume. This information is:

• Extracted and stored under the "Language" field in the parsed JSON output.

• Further categorized using taxonomy to enhance context and standardization.

• Available as part of both default and advanced configurations.

How to Get Documents Based on Language Known

To search for or filter documents by language, you can:

1. Use the Search & Match API:

   • During indexing, parsed resumes are stored with fields including known languages.

   • You can search using language as a keyword via simple search or match profile endpoints.

2. Use Query Analyzer in Search API:

   • The API can recognize language elements in the input and map them as search filters.

   • For example, searching for “German” or “French” will match candidates listing those languages.

3. Enable extractlanguageinskill in Resume Parser:

   • This is a dynamic API setting which, when enabled, ensures that languages known are returned in the skills section of the parsed output.

   • Example:

"apisetting": {
"extractlanguageinskill": true
}

• • This ensures better filtering and classification during indexing.

Use with LOV in Oracle or Other Systems

If you’re using RChilli in an Oracle environment:

• You can define LOVs (List of Values) for Languages.

• This enables mapping parsed language values into predefined fields within Oracle UI.

• Reference: Oracle Chrome Extension – LOV Setup Guide