{"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/many-languages-one-parser","title":"Many Languages, One Parser","arxiv_id":"1602.01595","date":"2016-02-04","proceeding":"TACL 2016 1","authors":["Waleed Ammar","George Mulcaire","Miguel Ballesteros","Chris Dyer","Noah A. Smith"],"abstract":"We train one multilingual model for dependency parsing and use it to parse\nsentences in several languages. The parsing model uses (i) multilingual word\nclusters and embeddings; (ii) token-level language information; and (iii)\nlanguage-specific features (fine-grained POS tags). This input representation\nenables the parser not only to parse effectively in multiple languages, but\nalso to generalize across languages based on linguistic universals and\ntypological similarities, making it more effective to learn from limited\nannotations. Our parser's performance compares favorably to strong baselines in\na range of data scenarios, including when the target language has a large\ntreebank, a small treebank, or no treebank for training.","url_abs":"http://arxiv.org/abs/1602.01595v4","url_pdf":"http://arxiv.org/pdf/1602.01595v4.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":"many-languages-one-parser","repo_url":"https://github.com/clab/language-universal-parser","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"cross-lingual-zero-shot-dependency-parsing","task_name":"Cross-lingual zero-shot dependency parsing"},{"task_slug":"dependency-parsing","task_name":"Dependency Parsing"},{"task_slug":"pos","task_name":"POS"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/cross-lingual-zero-shot-dependency-parsing-on","task":"Cross-lingual zero-shot dependency parsing","dataset":"Universal Dependency Treebank","model":"MaLOPa","rank_in_archive_order":2,"of":3,"metrics":{"LAS":"70.5"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1602.01595","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}