Mova0.5 pre-release⌕
☰
home / docs / papers / authors / Wolfgang Macherey

Wolfgang Macherey

2 paper cards in Mova's library · 2020–2021

Wolfgang Macherey wrote 2 of the papers Mova reads, in 2020–2021, most of them on Machine translation; often with Markus Freitag, David Grangier, Genady Beryozkin.

OpenAlex · h-index 27 · 8973 citations · 58 works — openalex, 2026-10-18

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology · ORCID

Topics: Machine translation 2

Papers

  1. Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation (2021)
    The paper replaces the usual one-score human judgment with explicit error annotation. Professional translators, working with the full document, marked errors in the outputs of the ten top systems of WMT 2020 (human references included) for English-to-German and Chinese-to-English, using the MQM framework. The errors…
  2. KoBE: Knowledge-Based Machine Translation Evaluation (2020)
    KoBE is a reference-free metric. Each source sentence and each candidate translation is linked to a large multilingual knowledge base, using entity linking. The score is the recall of source entities that are linked to the same knowledge-base entry in the candidate, clipped by the number of times each entity occurs…

Co-authors (8)

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/wolfgang-macherey/