Work

Findings of the WMT 2018 Shared Task on Quality Estimation

Year: 2018

Type: conference-paper

Abstract: We report the results of the WMT18 shared task on Quality Estimation, i.e. the task of predicting the quality of the output of machine translation systems at various granularity levels: word, phrase, sentence and document.This year we include four language pairs, three text domains, and translations produced by both statistical and neural machine translation systems.Participating teams from ten institutions submitted a variety of systems to different task variants and language pairs.

DOI: 10.18653/v1/w18-6451

Authors: Lucia Specia, Frédéric Blain, Varvara Logacheva, Ramón Astudillo, André F. T. Martins

Institutions: Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, Moscow Institute of Physics and Technology, Jadavpur University, Instituto de Telecomunicações, University of Sheffield

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funders: Horizon 2020 Framework Programme, Fundação para a Ciência e a Tecnologia

Awards: G265104915, Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa, G3783317134, G3850789590, Instituto de Telecomunicações

OpenAlex ID: W2902463012