Identify language of scientific paper
using AI
Below is a free classifier to identify language of scientific paper. Just input your text, and our AI will predict the discipline of the scientific paper - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("language-of-scientific-paper", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/language-of-scientific-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-scientific-paper/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the discipline of the scientific paper.
This pretrained text model uses a Nyckel-created dataset and has 47 labels, including Arabic, Basque, Bengali, Bulgarian, Catalan, Croatian, Czech, Danish, Dutch and English.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the discipline of the scientific paper).
Whether you're just curious or building language of scientific paper detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify language of scientific paper at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Research Paper Categorization: This function can automate the categorization of scientific papers based on their language, streamlining the process for researchers and librarians. By identifying the language, institutions can better organize their collections and ensure appropriate accessibility for multilingual audiences.
- Academic Journal Analytics: Publishers can utilize this function to analyze the language distribution of submissions across their journals. This data can inform editorial decisions and help publishers develop targeted outreach strategies to non-English speaking authors.
- Multilingual Search Optimization: Academic search engines can implement this function to enhance their search algorithms, allowing them to filter results based on the language of scientific texts. This will improve user experience for researchers seeking papers in specific languages.
- Grant Application Processing: Funding agencies can employ this function to classify grant applications based on the language of the proposed research. This enables efficient processing and ensures that reviewers with the appropriate language skills are assigned relevant applications.
- International Collaboration Facilitation: Universities and research institutions can use this function to identify and connect researchers who publish in similar languages, fostering international collaboration. This aids in building networks that can share knowledge and expertise across linguistic barriers.
- Language-Specific Citation Analysis: Researchers can apply this function to conduct citation analysis within specific languages. This can help assess the impact and visibility of research conducted in minority languages, highlighting the need for broader dissemination.
- Curriculum Development for Science Communication: Educational bodies can utilize this function to inform curriculum design by identifying the prevalent languages used in scientific literature. This allows institutions to better prepare students to engage with science in multiple languages, enhancing their communication skills in an increasingly globalized field.