A language identifier for Indian languages using a pretrained machine learning model.
Project description
langid_indian
A language identifier for Indian languages using a pretrained Machine learning model.
langid_indian is a Python package for identifying Indian languages in text using a pretrained machine learning model. It supports multiple languages from the Eighth Schedule of the Indian Constitution and can be used in NLP pipelines, chatbot applications, or multilingual data analysis.
🔗 PyPI Project Page: https://pypi.org/project/langid-indian/0.1.2/
Installation
pip install langid_indian
### Supported Languages
- Assamese (অসমীয়া)
- Bengali (বাংলা)
- Bodo
- Dogri
- English
- Gujarati
- Hindi (हिन्दी)
- Kannada (ಕನ್ನಡ)
- Kashmiri
- Konkani
- Maithili
- Malayalam (മലയാളം)
- Manipuri
- Marathi (मराठी)
- Nepali
- Odia
- Punjabi (ਪੰਜਾਬੀ)
- Santali
- Sindhi
- Tamil (தமிழ்)
- Telugu (తెలుగు)
- Urdu (اردو)
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file langid_indian-0.1.3.tar.gz.
File metadata
- Download URL: langid_indian-0.1.3.tar.gz
- Upload date:
- Size: 4.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
73a59586b5c94c099e43e5e1be0e68127796933bf5eb323eb3a2b1e895d2a017
|
|
| MD5 |
839e128f9ec161300e3434e4751c018b
|
|
| BLAKE2b-256 |
e0db20434248773a216fee859b8ffe5e628cda9abd03ba8cba76cb784908f7d4
|
File details
Details for the file langid_indian-0.1.3-py3-none-any.whl.
File metadata
- Download URL: langid_indian-0.1.3-py3-none-any.whl
- Upload date:
- Size: 4.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
83b73300602d2ec61406d6f9d31f918f04fc778a8360858be61fb200a9fabc66
|
|
| MD5 |
0daa5cc4cf938bf0e3bd2996d7694135
|
|
| BLAKE2b-256 |
1ae38ea6cf35b744995cf00169d17d1e7c7b6c202769c4ed08fab6c7439b6c7d
|