Part of Speech and Universal Dependency effects on English Arabic Machine Translation
Computation and Language
2021-06-04 v2 Artificial Intelligence
Machine Learning
Abstract
In this research paper, I will elaborate on a method to evaluate machine translation models based on their performance on underlying syntactical phenomena between English and Arabic languages. This method is especially important as such "neural" and "machine learning" are hard to fine-tune and change. Thus, finding a way to evaluate them easily and diversely would greatly help the task of bettering them.
Keywords
Cite
@article{arxiv.2106.00745,
title = {Part of Speech and Universal Dependency effects on English Arabic Machine Translation},
author = {Ofek Rafaeli and Omri Abend and Leshem Choshen and Dmitry Nikolaev},
journal= {arXiv preprint arXiv:2106.00745},
year = {2021}
}
Comments
19 pages