Identify language of software documentation
using AI
Below is a free classifier to identify language of software documentation. Just input your text, and our AI will predict what programming language is being documented - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("language-of-software-documentation", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/language-of-software-documentation/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-software-documentation/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict what programming language is being documented.
This pretrained text model uses a Nyckel-created dataset and has 30 labels, including Arabic, Czech, Danish, Dutch, English, Filipino, Finnish, French, German and Hebrew.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what programming language is being documented).
Whether you're just curious or building language of software documentation detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify language of software documentation at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Automated Documentation Review: This function can be employed in software development environments to automatically assess the language used in various pieces of documentation. By identifying whether the documentation aligns with specified language standards, teams can ensure clarity and consistency across all technical documents.
- Quality Assurance in Technical Writing: Organizations can implement this function to assist technical writers in maintaining high-quality documentation. By automatically flagging sections that do not conform to the desired language style or tone, it serves as a valuable tool for enhancing readability and user comprehension.
- Regulatory Compliance Checks: Companies in regulated industries can leverage this text classification to ensure that their software documentation complies with legal standards. By verifying that the language used meets industry guidelines, organizations can mitigate the risk of non-compliance and potential legal issues.
- Localization and Translation Analysis: The false text classification function can be used to assess the suitability of documentation for localization efforts. By identifying the language style and nuances, companies can optimize their translation processes, ensuring that materials are appropriately adapted for different cultural contexts.
- Knowledge Base Management: This function can enhance knowledge base articles by ensuring consistency in language and terminology. By classifying the language used, organizations can maintain a high standard in their knowledge repositories, making it easier for users to find and understand information.
- User Experience Improvement: By analyzing the language of user manuals or help guides, the function can provide insights that lead to improved user experiences. Companies can identify areas where complex language is used and recommend simplifications to ensure that documentation is accessible to a wider audience.
- Training Program Development: Organizations can utilize this classification function to develop training programs for technical writers and developers. By systematically reviewing the language used in existing documentation, they can pinpoint common errors and areas for improvement, leading to more effective training materials and sessions.