Arabic machine translation: A survey of the latest trends and challenges

MSH Ameur, F Meziane, A Guessoum - Computer Science Review, 2020 - Elsevier
Given that Arabic is one of the most widely used languages in the world, the task of Arabic
Machine Translation (MT) has recently received a great deal of attention from the research …

[PDF][PDF] Wider context by using bilingual language models in machine translation

J Niehues, T Herrmann, S Vogel… - Proceedings of the Sixth …, 2011 - aclanthology.org
Abstract In past Evaluations for Machine Translation of European Languages, it could be
shown that the translation performance of SMT systems can be increased by integrating a …

Joint prediction of word alignment with alignment types

AM Bigvand, T Bu, A Sarkar - Transactions of the Association for …, 2017 - direct.mit.edu
Current word alignment models do not distinguish between different types of alignment links.
In this paper, we provide a new probabilistic model for word alignment where word …

[PDF][PDF] Multilingual unsupervised word alignment models and their application

A Mansouri Bigvand - 2021 - core.ac.uk
Word alignment is an essential task in natural language processing because of its critical
role in training statistical machine translation (SMT) models, error analysis for neural …

Exploring deep learning techniques in the task of English-Arabic Machine Translation

MSH Ameur - 2020 - theses.hal.science
Given that Arabic is one of the most widely used languages in the world, the task of Arabic
Machine Translation has recently received a great deal of attention from the research …

[PDF][PDF] Computer Science Review

MSH Ameur, F Meziane, A Guessoum - 2020 - academia.edu
abstract Given that Arabic is one of the most widely used languages in the world, the task of
Arabic Machine Translation (MT) has recently received a great deal of attention from the …