Identify language of thesis
using AI
Below is a free classifier to identify language of thesis. Just input your text, and our AI will predict the language of the thesis. - 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-thesis", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/language-of-thesis/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-thesis/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the language of the thesis..
This pretrained text model uses a Nyckel-created dataset and has 31 labels, including Arabiс, Bengali, Czech, Danish, Dutch, English, Ethiopian, 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 of the thesis.).
Whether you're just curious or building language of thesis detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify language of thesis at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Academic Research Paper Classification: This function can be utilized by academic institutions to automatically classify research papers based on the language used in their theses. This enables researchers to quickly identify and access documents relevant to their linguistic capabilities or to look for papers in a specific language for comparative studies.
- Multilingual Literature Review Tool: Publishers and researchers can use the language identifier to streamline the process of compiling literature reviews by filtering theses based on their language. This eases the integration of diverse sources and enhances the depth of multilingual research.
- Language-Specific Academic Support: Universities can implement this function to provide tailored academic resources and writing assistance to students based on the language of their thesis. This ensures that students receive guidance and support that aligns with their linguistic needs, promoting better learning outcomes.
- Translation Service Optimization: Translation companies can leverage this classification tool to prioritize and efficiently assign translation projects based on the language of the thesis. By identifying the linguistic requirements upfront, they can streamline workflows and allocate resources more effectively.
- Compliance for International Programs: Educational institutions offering international programs can use this language identifier to ensure that all submitted theses meet language requirements for specific courses or degrees. This ensures consistency and quality in academic submissions, meeting the standards of various educational bodies.
- Database Management for Thesis Repositories: Digital libraries and repositories can integrate this function to automatically organize and categorize theses based on their language. This enhances their searchability and accessibility, allowing users to find documents more easily according to linguistic preferences.
- Market Analysis for E-Learning Platforms: E-learning companies can analyze the language distribution of submitted theses to tailor course offerings and materials for various linguistic demographics. By understanding the languages most represented, they can expand their market reach and improve user engagement.