{"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/jesc-japanese-english-subtitle-corpus","title":"JESC: Japanese-English Subtitle Corpus","arxiv_id":"1710.10639","date":"2017-10-29","proceeding":"LREC 2018 5","authors":["Reid Pryzant","Yongjoo Chung","Dan Jurafsky","Denny Britz"],"abstract":"In this paper we describe the Japanese-English Subtitle Corpus (JESC). JESC\nis a large Japanese-English parallel corpus covering the underrepresented\ndomain of conversational dialogue. It consists of more than 3.2 million\nexamples, making it the largest freely available dataset of its kind. The\ncorpus was assembled by crawling and aligning subtitles found on the web. The\nassembly process incorporates a number of novel preprocessing elements to\nensure high monolingual fluency and accurate bilingual alignments. We summarize\nits contents and evaluate its quality using human experts and baseline machine\ntranslation (MT) systems.","url_abs":"http://arxiv.org/abs/1710.10639v4","url_pdf":"http://arxiv.org/pdf/1710.10639v4.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":[],"tasks":[{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[{"slug":"jesc","name":"JESC","full_name":"Japanese-English Subtitle Corpus"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1710.10639","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}