Antonio Toral, Sudip Naskar, Federico Gaspari and Declan Groves
DELiC4MT: A Tool for Diagnostic MT Evaluation over User-defined Linguistic Phenomena
This paper demonstrates DELiC4MT, a piece of software that allows the user to perform diagnostic evaluation of machine translation systems over linguistic checkpoints, i.e., source-language lexical elements and grammatical constructions specified by the user. Our integrated tool builds upon best practices, software components and formats developed under different projects and initiatives, focusing on enabling easy adaptation to any language pair and linguistic phenomenon. We provide a description of the different modules that make up the tool, introduce a web demo and present a step-by-step case study of how it can be applied to a specific language pair and linguistic phenomenon.