An NLP tool for decoding the ATC Phraseology from English to Bengali

In recent times, the translation and transliteration capabilities are growing at an unprecedented rate. The increasing research in machine translation [MT] has led to the development of more powerful real-time translation systems. Most of the neural machine translation [NMT] and statistical machine translation [SMT] systems are mainly dependent on the parallel corpus, which has been used to train the model. As the applications of machine translation [MT] methods are more focused on agriculture, tourism, health care and other such smart applications. Its implementation lags in certain other domains like aviation, aero-space and so on. Though many SMT and NMT systems exist today, still in lacks to perfectly translate and transliterate the sentences related to aviation. As a result, the aviation related translation and transliteration tools requires significant research attention. Hence, this paper proposes a Natural Language Processing [NLP] tool to decode the required Air Traffic Controllers [ATC] phraseology from English to a local language Bengali.