{"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/pronoun-translation-in-english-french-machine","title":"Pronoun Translation in English-French Machine Translation: An Analysis of Error Types","arxiv_id":"1808.10196","date":"2018-08-30","proceeding":null,"authors":["Christian Hardmeier","Liane Guillou"],"abstract":"Pronouns are a long-standing challenge in machine translation. We present a\nstudy of the performance of a range of rule-based, statistical and neural MT\nsystems on pronoun translation based on an extensive manual evaluation using\nthe PROTEST test suite, which enables a fine-grained analysis of different\npronoun types and sheds light on the difficulties of the task. We find that the\nrule-based approaches in our corpus perform poorly as a result of\noversimplification, whereas SMT and early NMT systems exhibit significant\nshortcomings due to a lack of awareness of the functional and referential\nproperties of pronouns. A recent Transformer-based NMT system with\ncross-sentence context shows very promising results on non-anaphoric pronouns\nand intra-sentential anaphora, but there is still considerable room for\nimprovement in examples with cross-sentence dependencies.","url_abs":"http://arxiv.org/abs/1808.10196v1","url_pdf":"http://arxiv.org/pdf/1808.10196v1.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":"pronoun-translation-in-english-french-machine","repo_url":"https://github.com/cairouchong/discourse-phenomena","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"nmt","task_name":"NMT"},{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}