{"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/lost-in-interpretation-predicting","title":"Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation","arxiv_id":"1904.00930","date":"2019-04-01","proceeding":"NAACL 2019 6","authors":["Nikolai Vogler","Craig Stewart","Graham Neubig"],"abstract":"Simultaneous interpretation, the translation of speech from one language to\nanother in real-time, is an inherently difficult and strenuous task. One of the\ngreatest challenges faced by interpreters is the accurate translation of\ndifficult terminology like proper names, numbers, or other entities.\nIntelligent computer-assisted interpreting (CAI) tools that could analyze the\nspoken word and detect terms likely to be untranslated by an interpreter could\nreduce translation error and improve interpreter performance. In this paper, we\npropose a task of predicting which terminology simultaneous interpreters will\nleave untranslated, and examine methods that perform this task using supervised\nsequence taggers. We describe a number of task-specific features explicitly\ndesigned to indicate when an interpreter may struggle with translating a word.\nExperimental results on a newly-annotated version of the NAIST Simultaneous\nTranslation Corpus (Shimizu et al., 2014) indicate the promise of our proposed\nmethod.","url_abs":"http://arxiv.org/abs/1904.00930v1","url_pdf":"http://arxiv.org/pdf/1904.00930v1.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":"lost-in-interpretation-predicting","repo_url":"https://github.com/nvog/lost-in-interpretation","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}