Fuzzy sets demonstrate remarkable efficacy in addressing a wide range of challenges in
real-world domains, surpassing the capabilities of traditional approaches. These disciplines …

Abstract Machine translation is a powerful tool for overcoming linguistic obstacles, but it
often introduces errors that lower the overall translation quality. This research project aims to …

Abstract Machine translation, powered by Artificial Intelligence has revolutionized the way to
bridge language barriers in today's interconnected world. This research explores the role …

Due to increasingly global cultural exchanges, people are more conscious about the
importance of mastering a foreign language. Language translation and helping students in …

Since the emergence of the first fully automatic machine translation (MT) systems over fifty
years ago, the use of MT has increased dramatically. Consequently, the evaluation of MT …

Automatic error detection is desired in the post-processing to improve machine translation
quality. The previous work is largely based on confidence estimation using system-based …

The increasing role of post-editing as a way of improving machine translation output and a
faster alternative to translating from scratch has lately attracted researchers' attention and …

Intelligibility and fidelity are the two key notions in machine translation system evaluation,
but do not always provide enough information for system development. Detailed information …

Abstract English translation is the most frequently encountered problem in English learning,
and fast, efficient and correct English translation has become the demand of many people …

Future improvement of machine translation systems requires reliable automatic evaluation
and error classification measures to avoid time and money consuming human classification …