Nowadays, in the globalised context in which we find ourselves, language barriers can still
be an obstacle to accessing information. On occasions, it is impossible to satisfy the demand …

Apertium is a free/open-source platform for rule-based machine translation. It is being widely
used to build machine translation systems for a variety of language pairs, especially in those …

A large number of machine translation approaches have recently been developed to
facilitate the fluid migration of content across languages. However, the literature suggests …

Addressing the global increase in social media users, platforms such as Instagram
introduced automatic translation to broaden information dissemination and improve cross …

This article presents a hybrid architecture which combines rule-based machine translation
(RBMT) with phrase-based statistical machine translation (SMT). The hybrid translation …

Machine translation (MT) has been the milestone of language understanding, ultimately
seeking to provide high quality translation between pairs of languages, which is the genesis …

Using a Grammar Checker for Evaluation and Postprocessing of Statistical Machine
Translation Page 1 Using a Grammar Checker for Evaluation and Postprocessing of …

This study presents a new hybrid approach for translation equivalent selection within a
transfer-based machine translation system using an intertwined net of traditional linguistic …

This paper presents a machine translation architecture which hybridizes Matxin, a rulebased
system, with regular phrase-based Statistical Machine Translation. In short, the hybrid …

Rule-based machine translation (RBMT) and Statistical machine translation (SMT) are two
well-known approaches for translation which have their own benefits. System architecture of …