Multimodal quality estimation for machine translation
                        
                        
                            - Submitting institution
 
                            - 
                                University of Wolverhampton
                                
 
                            
 
                            - Unit of assessment
 
                            - 26 - Modern Languages and Linguistics
 
                            - Output identifier
 
                            - 1463
 
                            - Type
 
                            - E - Conference contribution
 
                                - DOI
 
                                - 
                                        10.18653/v1/2020.acl-main.114
                                
 
                                - Title of conference / published proceedings
 
                                - Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
 
                                - First page
 
                                - 1233
 
                                - Volume
 
                                - -
 
                                - Issue
 
                                - -
 
                                - ISSN
 
                                - -
 
                                - Open access status
 
                                - -
 
                            - Month of publication
 
                            - July
 
                            - Year of publication
 
                            - 2020
 
                            - URL
 
                            - 
-                            
 
                            - Supplementary information
 
                            - 
-                            
 
                            - Request cross-referral to
 
                            - -
 
                            - Output has been delayed by COVID-19
 
                            - No
 
                            - COVID-19 affected output statement
 
                            - -
 
                            - Forensic science
 
                            - No
 
                            - Criminology
 
                            - No
 
                            - Interdisciplinary
 
                            - No
 
                            - Number of additional authors
 
                            - 
                                2
                            
 
                            - Research group(s)
 
                            - 
-                            
 
                            - Proposed double-weighted
 
                            - No
 
                            - Reserve for an output with double weighting
 
                            - No
 
                            - Additional information
 
                            - -
 
                            - Author contribution statement
 
                            - -
 
                            - Non-English
 
                            - No
 
                            - English abstract
 
                            - -