This paper presents an overview of Apertium, a free and open-source rule-based machine
translation platform. Translation in Apertium happens through a pipeline of modular tools …

Provides a critical introduction to the central ideas and perennial problems of morphology,
fully revised and updated in a new edition What is Morphology? is a concise, student …

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 research aims to investigate teachers' perception of the effective use of Google
Translate (GT) in students' writing. This research employs a qualitative approach, specifically …

Classical translation models constrain the space of possible outputs by selecting a subset of
translation rules based on the input sentence. Recent work on improving the efficiency of …

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

This paper presents a bidirectional machine translation system between Kazakh and Tatar,
two Turkic languages. Background on the differences between the languages is presented …

Statistical and rule-based methods are complementary approaches to machine translation
(MT) that have different strengths and weaknesses. This complementarity has, over the last …

I first started working on machine translation in 2005, shortly after graduating from a masters
in linguistics. I was enthusiastic about the possibilities of machine translation between …