Identify language of academic paper
using AI
Below is a free classifier to identify language of academic paper. Just input your text, and our AI will predict the academic discipline of the paper - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("language-of-academic-paper", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/language-of-academic-paper/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-academic-paper/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the academic discipline of the paper.
This pretrained text model uses a Nyckel-created dataset and has 43 labels, including Arabic, Bengali, Bulgarian, Catalan, Croatian, Czech, Danish, Dutch, English and Estonian.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the academic discipline of the paper).
Whether you're just curious or building language of academic paper detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify language of academic paper at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Academic Journal Filter: This function can be utilized by academic databases to categorize papers based on their language of writing. By identifying the language, databases can improve search functionality and assist users in finding relevant papers more effectively.
- Citation Management Tools: Citation management software can implement this function to help users organize their references based on the language. This aids researchers in filtering sources and ensuring their literature reviews include diverse language texts.
- Translation Services Integration: Companies providing translation services for academic papers can leverage this function to pre-identify the language of incoming documents. This allows them to streamline the workflow and allocate the correct linguistic resources to translation tasks.
- Grant Application Review: Funding agencies can use the language identifier function during the initial review of grant applications. By identifying the language of submission, they can assess and streamline the review process for multilingual applications.
- Research Collaboration Platforms: Collaborative research platforms can implement this function to assist users in finding potential collaborators who speak the same language as the papers they are interested in. This encourages more effective networking among researchers across different regions.
- Text Mining Applications: Businesses involved in text mining can use the function to preprocess academic papers for language-specific sentiment or trend analysis. This ensures the categorization of findings based on linguistic contextual relevance.
- University Archives Management: University and institutional archives can use this identifier to classify their collections based on the language of the academic works stored. This streamlines access for researchers looking for resources in specific languages, enhancing usability of the archives.