A Challenge Set for French - English Machine Translation

By Pierre Isabelle, Roland Kuhn. 2018

6 citations recorded by the source corpus.

Subfields: Evaluation & Benchmarks, Machine Translation

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Evaluation & Benchmarks

1. Yonatan Belinkov
2. Sebastian Gehrmann
3. Ellie Pavlick
4. Tal Linzen

In Machine Translation

1. Ellie Pavlick
2. Yonatan Belinkov
3. Sebastian Gehrmann
4. Jesse Vig

Citations in the corpus

• Analysis Methods in Neural Language Processing: A Survey (2018, neutral): “, 2018) MT Discourse English→French 400 Manual (Isabelle et al., 2017; Isabelle and Kuhn, 2018) MT Morpho-syntax, syntax, lexicon English↔French 108 + 506 Manual”
• Interpretability and Analysis in Neural NLP (2020, methodology): “Next, we will discuss the construction and use of challenge sets for fine-grained evaluation in the context of different tasks (Conneau and Kiela, 2018; Wang et al., 2018; Isabelle and Kuhn, 2018; Sennrich, 2017, inter alia).”