This article presents the most up-to-date, influential automated, semiautomated and human
metrics used to evaluate the quality of machine translation (MT) output and provides the …

The fast advancement in machine translation models necessitates the development of
accurate evaluation metrics that would allow researchers to track the progress in text …

Many research topics in natural language processing (NLP), such as explanation
generation, dialog modeling, or machine translation, require evaluation that goes beyond …

AI-based code generators are an emerging solution for automatically writing programs
starting from descriptions in natural language, by using deep neural networks (Neural …

Machine learning (ML) models can fail in unexpected ways in the real world, but not all
model failures are equal. With finite time and resources, ML practitioners are forced to …

In recent years, computer language area has witnessed important evolvement with
applications in different domains. Machine Translation MT technology, considered as a …

Despite the recent success of automatic metrics for assessing translation quality, their
application in evaluating the quality of machine-translated chats has been limited. Unlike …

ChatGPT, a cutting-edge AI-powered Chatbot, can quickly generate responses on given
commands. While it was reported that ChatGPT had the capacity to deliver useful feedback …

Abstract Machine Translation Quality Estimation (QE) aims to evaluate the quality of
machine translation without relying on references. Recently, Large-scale Language Model …

Biomedical literature often uses complex language and inaccessible professional
terminologies. That is why simplification plays an important role in improving public health …