Until very recently, most NLP tasks (e.g., parsing, tagging, etc.) have been con\ufb01ned to a very limited number of languages, the so-called majority languages. Now, as the \ufb01eld moves into the era of developing tools for Resource Poor Languages (RPLs)\u2014a vast majority of the world\u2019s 7,000 languages are resource poor\u2014the discipline is confronted not only with the algorithmic challenges of limited data, but also the sheer dif\ufb01culty of locating data in the \ufb01rst place. In this demo, we present a resource which taps the large body of linguistically annotated data on the Web, data which can be repurposed for NLP tasks. Because the \ufb01eld of linguistics has as its mandate the study of human language\u2014in fact, the study of all human languages\u2014and has wholeheartedly embraced the Web as a means for dissementating linguistic knowledge, the consequence is that a large quantity of analyzed language data can be found on the Web. In many cases, the data is richly annotated and exists for many languages for which there would otherwise be very limited annotated data. The resource, the Online Database of INterlinear text (ODIN), makes this data available and provides additional annotation and structure, making the resource useful to the Computational Linguistic audience. In this paper, after a brief discussion of the previous work on ODIN, we report our recent work on extending ODIN by applying machine learning methods to the task of data extraction and language identi\ufb01cation, and on using ODIN to \u201cdiscover\u201d linguistic knowledge. Then we outline a plan for the demo presentation.<\/p>\n","protected":false},"excerpt":{"rendered":"
Until very recently, most NLP tasks (e.g., parsing, tagging, etc.) have been con\ufb01ned to a very limited number of languages, the so-called majority languages. Now, as the \ufb01eld moves into the era of developing tools for Resource Poor Languages (RPLs)\u2014a vast majority of the world\u2019s 7,000 languages are resource poor\u2014the discipline is confronted not only […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"Association for Computational Linguistics","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"Proceedings of the 12th Conference of the European Chapter of the ACL (EACL-2009)","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"Proceedings of the 12th Conference of the 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