72 citations · 342 across the 17 of their papers we have counts for
4 papers · 1 filter
Exploring Neural Methods for Parsing Discourse Representation Structures
Rik van Noord, Lasha Abzianidze, Antonio Toral +1
Neural methods have had several recent successes in semantic parsing, though they have yet to face the challenge of producing meaning representations based on formal semantics. We…
Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation
Antonio Toral, Sheila Castilho, Ke Hu +1
We reassess a recent study (Hassan et al., 2018) that claimed that machine translation (MT) has reached human parity for the translation of news from Chinese into English, using pa…
Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian
Filip Klubička, Antonio Toral, Víctor M. Sánchez-Cartagena
This paper presents a quantitative fine-grained manual evaluation approach to comparing the performance of different machine translation (MT) systems. We build upon the well-establ…
What Level of Quality can Neural Machine Translation Attain on Literary Text?
Antonio Toral, Andy Way
Given the rise of a new approach to MT, Neural MT (NMT), and its promising performance on different text types, we assess the translation quality it can attain on what is perceived…