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English Indonesian Neural Machine Translation for Spoken Language Domains

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Figure

Table 1: Dataset used in our experiments
Figure 1: Sample outputs of our EN-ID non-adapted(MIX) and domain-adapted (MIX+DA) systems, inwhich more than 50% of human assessors vote trans-lation by the domain-adapted system as more formal.

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