{"id":160195,"date":"2008-01-01T00:00:00","date_gmt":"2008-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/unsupervised-parts-of-speech-induction-for-bengali\/"},"modified":"2018-10-16T20:12:13","modified_gmt":"2018-10-17T03:12:13","slug":"unsupervised-parts-of-speech-induction-for-bengali","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/unsupervised-parts-of-speech-induction-for-bengali\/","title":{"rendered":"Unsupervised Parts-of-Speech Induction for Bengali"},"content":{"rendered":"<div class=\"asset-content\">\n<p>We present a study of the word interaction networks of Bengali in the framework of complex networks. The topological properties of these networks reveal interesting insights into the morpho-syntax of the language, whereas clustering helps in the induction of the natural word classes leading to a principled way of designing POS tagsets. We compare different network construction techniques and clustering algorithms based on the cohesiveness of the word clusters. Cohesiveness is measured against two gold-standard tagsets by means of the novel metric of tag-entropy. The approach presented here is a generic one that can be easily extended to any language.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present a study of the word interaction networks of Bengali in the framework of complex networks. The topological properties of these networks reveal interesting insights into the morpho-syntax of the language, whereas clustering helps in the induction of the natural word classes leading to a principled way of designing POS tagsets. We compare different [&hellip;]<\/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":"European Language Resources Association","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"Proceedings of LREC 2008","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":"Printed \/ Distributed with the permission of ELRA. This paper was published within the proceedings of the LREC'2008 Conference. \u00a9 2007 ELRA - European Language Resources Association. All rights reserved.","msr_conference_name":"Proceedings of LREC 2008","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Joydeep Nath, Animesh Mukherjee, Christian Biemann, Niloy 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