Search Results for author: Miguel Menezes

Found 3 papers, 2 papers with code

A Case Study on the Importance of Named Entities in a Machine Translation Pipeline for Customer Support Content

no code implementations EAMT 2022 Miguel Menezes, Vera Cabarrão, Pedro Mota, None Helena Moniz, Alon Lavie

This paper describes the research developed at Unbabel, a Portuguese Machine-translation start-up, that combines MT with human post-edition and focuses strictly on customer service content.

Machine Translation named-entity-recognition +2

DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues

1 code implementation WMT (EMNLP) 2021 Sheila Castilho, João Lucas Cavalheiro Camargo, Miguel Menezes, Andy Way

Recently, the Machine Translation (MT) community has become more interested in document-level evaluation especially in light of reactions to claims of “human parity”, since examining the quality at the level of the document rather than at the sentence level allows for the assessment of suprasentential context, providing a more reliable evaluation.

Machine Translation Sentence +1

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