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

机译:用于将ATC短语从英语译成孟加拉语的NLP工具

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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.
机译:最近,翻译和音译能力以前所未有的速度增长。机器翻译的越来越多的研究导致了更强大的实时翻译系统的发展。大多数神经电机翻译[NMT]和统计机器翻译[SMT]系统主要取决于并行语料库,这些语料库已被用于训练模型。由于机器翻译的应用[MT]方法更专注于农业,旅游,医疗保健和其他此类智能应用。其在某些其他域名的实施滞后,如航空,航空空间等。尽管今天存在许多SMT和NMT系统,但仍然缺乏完全翻译和翻译与航空有关的句子。因此,航空相关的翻译和音译工具需要显着的研究。因此,本文提出了一种自然语言处理[NLP]工具来解码所需的空中交通管制员[ATC]用英语从英语到当地语言孟加拉语。

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