Parallel corpora are used to train statistical translation models, which learn probabilistic translations between linguistic entities like words or phrases. SMT is a general approach that uses machine learning techniques to automatically learn translations from data. SMT is a preferred approach to MT over the past two decades, and during this time, huge advancement has been made in the development of SMT models. There are different approaches to MT, and among them, statistical machine translation (SMT) needs special mentioning as it uses statistical models to translate source into target language. Machine translation (MT), a subfield of computational linguistics, aims at automatically translating text from one language to another with the aid of computer software.
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