Identify language of dissertation
using AI
Below is a free classifier to identify language of dissertation. Just input your text, and our AI will predict the primary language of the dissertation is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("language-of-dissertation", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/language-of-dissertation/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-dissertation/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the primary language of the dissertation is.
This pretrained text model uses a Nyckel-created dataset and has 49 labels, including Arabic, Basque, Bengali, Bosnian, Bulgarian, Catalan, Croatian, Czech, Dutch and English.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the primary language of the dissertation is).
Whether you're just curious or building language of dissertation detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify language of dissertation at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Academic Language Assessment: This use case involves using the 'language of dissertation' identifier to evaluate the linguistic quality of academic papers. By classifying dissertations based on their language, universities can provide targeted feedback to students, ensuring they meet linguistic standards and enhance their writing skills.
- Multilingual Research Database: Universities and research institutions can implement this function to categorize dissertations based on language. By doing so, they can create a multilingual research database that facilitates easier access to academic resources across language barriers, promoting global collaboration.
- Funding Eligibility Automation: Grant and funding applications often require specific language criteria to be met. By employing the 'language of dissertation' identifier, organizations can automatically classify applications, streamlining the eligibility verification process and ensuring compliance with language requirements.
- Language-Specific Peer Review: Academic journals can utilize this classification function to assign peer reviewers based on the language of the submitted dissertation. This practice will ensure that articles are reviewed by experts proficient in the relevant language, enhancing the quality of feedback and increasing the publication's overall integrity.
- Linguistic Diversity Analytics: Educational institutions can leverage the identifier to analyze the linguistic diversity of dissertations over time. This analysis can reveal trends in language usage and help institutions adapt their curricula to better support language development among students.
- Resource Localization: The identifier can assist organizations in identifying and classifying dissertations in different languages for localization. By understanding the linguistic landscape of their research outputs, institutions can prioritize translations and adaptations of key documents to better serve diverse audiences.
- Enhanced User Experience in Research Portals: Online research platforms can improve user experience by implementing the 'language of dissertation' identifier to filter search results. Users can easily find relevant dissertations in their preferred language, leading to a more efficient and user-friendly research experience.