{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/hume-human-ucca-based-evaluation-of-machine","title":"HUME: Human UCCA-Based Evaluation of Machine Translation","arxiv_id":"1607.00030","date":"2016-06-30","proceeding":"EMNLP 2016 11","authors":["Alexandra Birch","Omri Abend","Ondrej Bojar","Barry Haddow"],"abstract":"Human evaluation of machine translation normally uses sentence-level measures\nsuch as relative ranking or adequacy scales. However, these provide no insight\ninto possible errors, and do not scale well with sentence length. We argue for\na semantics-based evaluation, which captures what meaning components are\nretained in the MT output, thus providing a more fine-grained analysis of\ntranslation quality, and enabling the construction and tuning of\nsemantics-based MT. We present a novel human semantic evaluation measure, Human\nUCCA-based MT Evaluation (HUME), building on the UCCA semantic representation\nscheme. HUME covers a wider range of semantic phenomena than previous methods\nand does not rely on semantic annotation of the potentially garbled MT output.\nWe experiment with four language pairs, demonstrating HUME's broad\napplicability, and report good inter-annotator agreement rates and correlation\nwith human adequacy scores.","url_abs":"http://arxiv.org/abs/1607.00030v2","url_pdf":"http://arxiv.org/pdf/1607.00030v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"hume-human-ucca-based-evaluation-of-machine","repo_url":"https://github.com/bhaddow/hume-emnlp16","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1607.00030","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}