{"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/cmu-01-at-the-sigmorphon-2019-shared-task-on","title":"CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology","arxiv_id":"1907.10129","date":"2019-07-23","proceeding":"WS 2019 8","authors":["Aditi Chaudhary","Elizabeth Salesky","Gayatri Bhat","David R. Mortensen","Jaime G. Carbonell","Yulia Tsvetkov"],"abstract":"This paper presents the submission by the CMU-01 team to the SIGMORPHON 2019 task 2 of Morphological Analysis and Lemmatization in Context. This task requires us to produce the lemma and morpho-syntactic description of each token in a sequence, for 107 treebanks. We approach this task with a hierarchical neural conditional random field (CRF) model which predicts each coarse-grained feature (eg. POS, Case, etc.) independently. However, most treebanks are under-resourced, thus making it challenging to train deep neural models for them. Hence, we propose a multi-lingual transfer training regime where we transfer from multiple related languages that share similar typology.","url_abs":"https://arxiv.org/abs/1907.10129v1","url_pdf":"https://arxiv.org/pdf/1907.10129v1.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":"cmu-01-at-the-sigmorphon-2019-shared-task-on","repo_url":"https://github.com/Aditi138/MorphologicalAnalysis","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"lemma","task_name":"LEMMA"},{"task_slug":"lemmatization","task_name":"Lemmatization"},{"task_slug":"morphological-analysis","task_name":"Morphological Analysis"},{"task_slug":"pos","task_name":"POS"},{"task_slug":"task-2","task_name":"Task 2"}],"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}