Grammatical error correction (GEC) is the task of automatically correcting grammatical errors
in written text. Previous research has mainly focussed on individual error types and current …

Even though the rise of the neural machine translation (NMT) paradigm has brought a great
deal of improvement to the field of machine translation (MT), the current translation results …

We develop a supervised ranking model to rerank candidates generated from an SMT-
based grammatical error correction (GEC) system. A range of novel features with respect to …

Word reordering is one of the fundamental problems of machine translation. It is an
important factor in the quality and efficiency of machine translations. Tackling the reordering …

Abstract Machine translation is an important field of research and development. Word
reordering is one of the main problems in machine translation. It is an important factor of …

Machine Translation Evaluation Metrics (MTEMs) are the central core of Machine
Translation (MT) engines as they are developed based on frequent evaluation. Although …

Intelligent machine translation (MT) is becoming an important field of research and
development as the need for translations grows. Currently, the word reordering problem is …

The particle swarm system simulates the evolution of the social mechanism. In this system,
the individual particle representing the potential solution flies in the multidimensional space …

In this paper, we study on the problem of statistical machine translation (SMT) for English
language, and the main innovation is that we introduce the SVM classifier to solve this …

Given that Arabic is one of the most widely used languages in the world, the task of Arabic
Machine Translation has recently received a great deal of attention from the research …