KhalidRizk/seq2seq-nmt
Neutral Machine Translator, completed as a part of CS462 NLP coursework.
This project helps you translate Arabic sentences into English. You input text written in Arabic, and it outputs the corresponding English translation. This is useful for linguists, translators, or anyone needing to understand or convert Arabic text to English.
No commits in the last 6 months.
Use this if you need to translate individual Arabic sentences into English for personal or professional use.
Not ideal if you require real-time translation of long documents or conversations, or need support for languages other than Arabic to English.
Stars
7
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 23, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/KhalidRizk/seq2seq-nmt"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
xv44586/toolkit4nlp
transformers implement (architecture, task example, serving and more)
luozhouyang/transformers-keras
Transformer-based models implemented in tensorflow 2.x(using keras).
ufal/neuralmonkey
An open-source tool for sequence learning in NLP built on TensorFlow.
graykode/xlnet-Pytorch
Simple XLNet implementation with Pytorch Wrapper
uzaymacar/attention-mechanisms
Implementations for a family of attention mechanisms, suitable for all kinds of natural language...