Translating Between Morphologically Rich Languages: An Arabic-to-Turkish Machine Translation System

WS 2019 {\.I}lknur Durgar El-KahloutEmre Bekta{\c{s}}Naime {\c{S}}eyma ErdemHamza Kaya

This paper introduces the work on building a machine translation system for Arabic-to-Turkish in the news domain. Our work includes collecting parallel datasets in several ways for a new and low-resourced language pair, building baseline systems with state-of-the-art architectures and developing language specific algorithms for better translation... (read more)

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