Vehicle electrification has emerged as a global strategy to address climate change and
emissions externalities from the transportation sector. Deployment of charging infrastructure …

In this study, a systematic literature review was conducted to examine the significant works
in the literature on low-resource neural machine translation. Within the scope of the study …

In recent years, multilingual machine translation models have achieved promising
performance on low-resource language pairs by sharing information between similar …

To trainee translators and established professionals alike, the range of tools and
technologies now available, and the speed with which they change, can seem bewildering …

Abstract Sign Language Translation (SLT) is a challenging task that aims to translate sign
videos into spoken language. Inspired by the strong translation capabilities of large …

Natural language inference (NLI) is an increasingly important task of natural language
processing, and the explainable NLI generates natural language explanations (NLEs) in …

We revisit the multimodal entity and relation extraction from a translation point of view.
Special attention is paid on the misalignment issue in text-image datasets which may …

The Machine Translation System (MTS) serves as effective tool for communication by
translating text or speech from one language to another language. Recently, neural machine …

As the volume and complexity of forced movement continues to grow, there is an urgent
need to use new data sources to better understand emerging crises. Organic sources, like …

Reading comprehension involves the process of reading and understanding textual
information in order to answer questions related to it. It finds practical applications in various …