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04/18/2023
Tailoring Domain Adaptation for Machine Translation Quality Estimation
While quality estimation (QE) can play an important role in the translat...
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02/19/2023
Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product Reviews
Businesses and customers can gain valuable information from product revi...
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02/07/2022
Machine Translation from Signed to Spoken Languages: State of the Art and Challenges
Automatic translation from signed to spoken languages is an interdiscipl...
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12/11/2021
Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts
Continuously-growing data volumes lead to larger generic models. Specifi...
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09/13/2021
NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender-Neutral Alternatives
Recent years have seen an increasing need for gender-neutral and inclusi...
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01/30/2021
Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation
Recent studies in the field of Machine Translation (MT) and Natural Lang...
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05/01/2020
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation
Machine translation (MT) has benefited from using synthetic training dat...
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09/09/2019
Combining SMT and NMT Back-Translated Data for Efficient NMT
Neural Machine Translation (NMT) models achieve their best performance w...
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06/28/2019
Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation
This work presents an empirical approach to quantifying the loss of lexi...
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02/23/2019
ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction
We present our system for the CLIN29 shared task on cross-genre gender d...
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04/17/2018
Investigating Backtranslation in Neural Machine Translation
A prerequisite for training corpus-based machine translation (MT) system...
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04/25/2013