Identify language of onboarding document
using AI
Below is a free classifier to identify language of onboarding document. Just input your text, and our AI will predict the language used in the onboarding document - in just seconds.
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("language-of-onboarding-document", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/language-of-onboarding-document/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_text_here"}' \
https://www.nyckel.com/v1/functions/language-of-onboarding-document/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the language used in the onboarding document.
This pretrained text model uses a Nyckel-created dataset and has 38 labels, including Arabic, Bengali, Bulgarian, Croatian, Czech, Dutch, English, Filipino, Finnish and French.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the language used in the onboarding document).
Whether you're just curious or building language of onboarding document detection into your application, we hope our classifier proves helpful.
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Need to identify language of onboarding document at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Multilingual Support in Employee Onboarding: This function can be used by HR departments to automatically identify the language of onboarding documents. By doing so, companies can ensure that new hires receive materials in their preferred language, fostering better understanding and engagement during onboarding.
- Compliance and Legal Verification: Organizations can utilize this function to verify that onboarding documents comply with regional language requirements. This enhances legal compliance and reduces the risk of miscommunication or misunderstandings in the onboarding process.
- Content Localization: Businesses can identify the language of onboarding documents to streamline the localization process. This allows for more efficient translation efforts, enabling companies to quickly adapt materials for diverse employee demographics across global offices.
- Language-Sensitive Resource Allocation: Companies can employ this function to assess their onboarding material language distribution. By pinpointing which languages are predominant, HR can allocate resources or personnel proficient in those languages to provide personalized support to new hires.
- Data Analytics on Onboarding Efficiency: The language identification feature can serve as a data point for analyzing the effectiveness of onboarding programs in multilingual environments. By examining employee retention and feedback based on document language, businesses can tweak their onboarding approaches for better results.
- Tailored Training Programs: This function can assist organizations in tailoring training programs based on the language of onboarding documents. By understanding the language preferences of new hires, companies can provide relevant training modules that cater to varied linguistic backgrounds.
- Enhanced User Experience in Digital Platforms: Businesses can integrate this function into digital onboarding platforms to offer a personalized experience. By automatically detecting the language of uploaded documents, the system can present multilingual options, improving overall user satisfaction and ease of access.