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 …

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 …

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

Despite the numerous advantages of using Wireless Sensor Networks (WSN) in precision
farming, the lack of infrastructure in the remote farm locations as well as the constraints of …

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 …

This paper describes the resources available in the Apertium platform, a free/open-source
framework for creating rule-based machine translation systems. Resources within the …

This paper presents a systematic human evaluation of translations of English support verb
constructions produced by a rule-based machine translation (RBMT) system (OpenLogos) …

We describe OpenMaTrEx, a free/open-source example-based machine translation (EBMT)
system based on the marker hypothesis, comprising a marker-driven chunker, a collection of …

The development of a Manipuri to English example based machine translation system is
reported. The sentence level parallel corpus is built from comparable news corpora. POS …