Controlling Extra-Textual Attributes about Dialogue Participants: A Case Study of English-to-Polish Neural Machine Translation. (arXiv:2205.04747v1 [cs.CL])

Unlike English, morphologically rich languages can reveal characteristics of
speakers or their conversational partners, such as gender and number, via
pronouns, morphological endings of words and syntax. When translating from
English to such languages, a machine translation model needs to opt for a
certain interpretation of textual context, which may lead to serious
translation errors if extra-textual information is unavailable. We investigate
this challenge in the English-to-Polish language direction. We focus on the
underresearched problem of utilising external metadata in …

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