ARBML/nmatheg
A simple strategy for training and finetuning NLP models for Arabic. Specify the parameters and just wait for the results. A simple design that makes use of the different tools in our NLP pipeline.
This project helps people who need to train or fine-tune Natural Language Processing (NLP) models specifically for the Arabic language. You provide details like the dataset name (e.g., Arabic tweets or reviews) and desired training parameters, and it outputs a trained Arabic NLP model ready for various tasks. This is ideal for researchers, data scientists, or anyone working with Arabic text data who needs to develop custom NLP solutions without deep coding.
No commits in the last 6 months.
Use this if you have an Arabic text classification, named entity recognition, question answering, machine translation, or natural language inference problem and want a straightforward way to train or fine-tune a model.
Not ideal if your project involves languages other than Arabic or requires highly custom model architectures beyond common NLP tasks.
Stars
21
Forks
5
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 27, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/ARBML/nmatheg"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
CAMeL-Lab/camel_tools
A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York...
PetrKorab/Arabica
Python package for text mining of time-series data
markuskiller/textblob-de
German language support for TextBlob.
MagedSaeed/farasapy
A Python implementation of Farasa toolkit
adhaamehab/textblob-ar
Arabic support for textblob