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The Only Chance to Understand: Machine Translation of the Severely Endangered Low-resource Languages of Eurasia
Numerous machine translation systems have been proposed since the appearance of this task.
Language rehabilitation of people with BROCA aphasia using deep neural machine translation
We will show how we create a pseudo-aphasia corpus from real data, and then we will show the feasibility of our project to translate from aphasia data to natural language.
Supervised Contrastive Learning as Multi-Objective Optimization for Fine-Tuning Large Pre-trained Language Models
Recently, Supervised Contrastive Learning (SCL) has been shown to achieve excellent performance in most classification tasks.
The SMarT Classifier for Arabic Fine-Grained Dialect Identification
We achieved a score of 67. 73{\%} in terms of Macro accuracy and a macro-averaged F1-score of 67. 31{\%}
An enhanced automatic speech recognition system for Arabic
Despite all the classical techniques for Automatic Speech Recognition (ASR), which can be efficiently applied to Arabic speech recognition, it is essential to take into consideration the language specificities to improve the system performance.
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