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

Machine translation evaluation is difficult and challenging for natural languages because
different languages behave differently for the same dataset. Lexical-based metrics have …

The fast growth of communication technology has brought nations and their cultures closer
together, and the demand for cross-language communication has risen tremendously. There …

Thousands of gigabytes of data are produced each minute by everyone in today's society.
This data is being stored in clouds worldwide. The study addressed these security issues in …

It is very challenging to work with low resource languages pairs as monolingual and parallel
dataset do not exist or exist in a very small amount. Furthermore, there is a lack of …

Abstract Machine translation has been researched using deep neural networks in recent
years. These networks require lots of data to learn abstract representations of the input …

Commit messages play an important role in several software engineering tasks such as
program comprehension and understanding program evolution. However, programmers …

The rapid globalisation in language technology and the Internet's fast expansion have
brought nations and their cultures close together, and the demand for inter-language …

Expanding traditional video metadata and recommendation systems encompasses
challenges that are difficult to address with conventional methodologies. Limitations in …

It has been proven in many quality-focused studies that machine translation output in some
language pairs is still far from publishable (Koponen, 2016). Even so, post-editing has …