Part of Speech and Universal Dependency effects on English Arabic Machine Translation

Dmitry Nikolaev; Leshem Choshen; Ofek Rafaeli; Omri Abend

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Part of Speech and Universal Dependency effects on English Arabic Machine Translation

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arxiv 2106.00745 v2 pith:5XSFKX5R submitted 2021-06-01 cs.CL cs.AIcs.LG

Part of Speech and Universal Dependency effects on English Arabic Machine Translation

Ofek Rafaeli , Omri Abend , Leshem Choshen , Dmitry Nikolaev This is my paper

classification cs.CL cs.AIcs.LG

keywords machinearabicenglishevaluatemethodthemtranslationbettering

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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.

Part of Speech and Universal Dependency effects on English Arabic Machine Translation

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