HIGHLIGHTS
SUMMARY
Computational linguistics tries to use computational models to unravel the mystery of language processing (Chowdhury, 2003; Nadkarni et_al, 2011). While before the 1980s these computational approaches were mainly based on finding and applying strict syntactic rules, the field changed toward statistical natural language processing (Klein, 2005; Nadkarni et_al, 2011). One field, which made significant progress in the last years and demonstrates the huge impact of this Big Data approach in combination with modern AI systems on natural language processing, is machine translation MT (Volkart et_al, 2018; Rescigno et_al, 2020; Yulianto and Supriatnaningsih, 2021). In . . .
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