{"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/a-portuguese-native-language-identification","title":"A Portuguese Native Language Identification Dataset","arxiv_id":"1804.11346","date":"2018-04-30","proceeding":"WS 2018 6","authors":["Iria del Río","Marcos Zampieri","Shervin Malmasi"],"abstract":"In this paper we present NLI-PT, the first Portuguese dataset compiled for\nNative Language Identification (NLI), the task of identifying an author's first\nlanguage based on their second language writing. The dataset includes 1,868\nstudent essays written by learners of European Portuguese, native speakers of\nthe following L1s: Chinese, English, Spanish, German, Russian, French,\nJapanese, Italian, Dutch, Tetum, Arabic, Polish, Korean, Romanian, and Swedish.\nNLI-PT includes the original student text and four different types of\nannotation: POS, fine-grained POS, constituency parses, and dependency parses.\nNLI-PT can be used not only in NLI but also in research on several topics in\nthe field of Second Language Acquisition and educational NLP. We discuss\npossible applications of this dataset and present the results obtained for the\nfirst lexical baseline system for Portuguese NLI.","url_abs":"http://arxiv.org/abs/1804.11346v1","url_pdf":"http://arxiv.org/pdf/1804.11346v1.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":"language-acquisition","task_name":"Language Acquisition"},{"task_slug":"language-identification","task_name":"Language Identification"},{"task_slug":"native-language-identification","task_name":"Native Language Identification"},{"task_slug":"pos","task_name":"POS"}],"methods":[],"datasets_introduced":[{"slug":"nli-pt","name":"NLI-PT","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1804.11346","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}