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- W3082415722 abstract "Recently, document-level (doc-level) human evaluation of machine translation(MT) has raised interest in the community after a few attempts have disprovedclaims of “human parity” (Toral et al.,2018; Laubli et al., 2018). However, lit- ¨tle is still known about best practices regarding doc-level human evaluation. Thisproject aims to identify methodologies tobetter cope with i) the current state-of-theart (SOTA) human metrics, ii) a possiblecomplexity when assigning a single scoreto a text consisted of ‘good’ and ‘bad’sentences, iii) a possible tiredness bias indoc-level set-ups, and iv) the difference ininter-annotator agreement (IAA) betweensentence and doc-level set-ups." @default.
- W3082415722 created "2020-09-08" @default.
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- W3082415722 date "2020-11-01" @default.
- W3082415722 modified "2023-09-26" @default.
- W3082415722 title "Document-level machine translation evaluation project: methodology,effort and inter-annotator agreement" @default.
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