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In this paper, we describe compare-mt, a tool for holistic analysis andcomparison of the results of systems for language generation tasks such asmachine translation. The main goal of the tool is to give the user a high-leveland coherent view of the salient differences between systems that can then beused to guide further analysis or system improvement. It implements a number oftools to do so, such as analysis of accuracy of generation of particular typesof words, bucketed histograms of sentence accuracies or counts based on salientcharacteristics, and extraction of characteristic $n$-grams for each system. Italso has a number of advanced features such as use of linguistic labels, sourceside data, or comparison of log likelihoods for probabilistic models, and alsoaims to be easily extensible by users to new types of analysis. The code isavailable at https://github.com/neulab/compare-mt

compare-mt: A Tool for Holistic Comparison of Language Generation Systems