In both research and practice, translation quality assessment is a complex task involving a
range of linguistic and extra-linguistic factors. This chapter provides a critical overview of the …

Abstract Machine translation (namely MT) has been one of the most popular fields in
computational linguistics and Artificial Intelligence (AI). As one of the most promising …

With the advancement in computer language technology in a multilingual country like India,
numerous linguistics require technology for translation. It aids in research for ancient …

This survey on hybrid machine translation (MT) is motivated by the fact that hybridization
techniques have become popular as they attempt to combine the best characteristics of …

The main goal of translation quality assessment (TQA) is to ensure a specified level of
quality is reached, maintained and delivered to the client, buyer, user, reader, etc., of …

Recent years have seen significant improvements in machine translation thanks to the
enhanced capacity of computers and advanced technologies in the field of Natural …

Context-aware machine translation approaches improve the quality of translation by
incorporating the context of the surrounding phrases in the translation of a phrase. So far, for …

Abstract The Abbreviated Injury Scale (AIS) is an essential tool for injury research since it
allows for comparisons of injury severity among patients, however, the International …

Abstract Machine translation post-editing is becoming commonplace and professional
translators are often faced with this unknown task with little training and support. Given the …

The demand for translations is increasing at a rate far beyond the capacity of professional
translators. It is too difficult, time consuming and expensive to translate everything from …