Search Results for author:
Found 5 papers, 1 papers with code
The Impact of Preprocessing on Arabic-English Statistical and Neural Machine Translation
Neural networks have become the state-of-the-art approach for machine translation (MT) in many languages.
Simple Automatic Post-editing for Arabic-Japanese Machine Translation
A common bottleneck for developing machine translation (MT) systems for some language pairs is the lack of direct parallel translation data sets, in general and in certain domains.
A Little Linguistics Goes a Long Way: Unsupervised Segmentation with Limited Language Specific Guidance
We present de-lexical segmentation, a linguistically motivated alternative to greedy or other unsupervised methods, requiring only minimal language specific input.
CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing
We present CAMeL Tools, a collection of open-source tools for Arabic natural language processing in Python.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
