eprintid: 1594 rev_number: 7 eprint_status: archive userid: 11 dir: disk0/00/00/15/94 datestamp: 2016-05-24 06:56:15 lastmod: 2016-05-24 06:57:08 status_changed: 2016-05-24 06:56:15 type: conference_item metadata_visibility: show creators_name: Nguyen, Hong Quan creators_name: Nguyen, Phuong Thai creators_name: Dang, Thanh Quyen creators_name: Nguyen, Van Hiep creators_id: thainp@vnu.edu.vn title: Automatic detection of problematic rules in Vietnamese Treebank ispublished: pub subjects: IT divisions: fac_fit keywords: Markov processes;equivalence classes;natural language processing;trees (mathematics);Vietnamese Treebank;automatic detection;equivalence classes;problematic rules;syntax trees;vertical Markovization;Abstracts;Accuracy;Buildings;Educational institutions;Natural language processing;Reliability;Syntactics;VTB;ad hoc;auto;detect;equipvalence;error;markovization;treebank abstract: Vietnamese Treebank is a syntactically annotated corpus newly published in 2009. In this paper, we applied automated methods to detect errors in Vietnammese Treebank based on the concept of equivalence classes proposed by Dickinson. On this basis, we propose an improved method of error detection by transforming syntax trees based on vertical markovization. Our experimental results on Vietnamese Treebank showed that the scope of error detection was extended more than 2 times and the precision was improved more than 18.07% in comparison with the base line methods. date: 2015-01 date_type: published full_text_status: none pres_type: paper pagerange: 13-18 event_title: RIVF: 2015 IEEE RIVF International Conference on Computing Communication Technologies - Research, Innovation, and Vision for the Future event_location: Can Tho, Vietnam event_dates: 25-28 January 2015 event_type: conference refereed: TRUE citation: Nguyen, Hong Quan and Nguyen, Phuong Thai and Dang, Thanh Quyen and Nguyen, Van Hiep (2015) Automatic detection of problematic rules in Vietnamese Treebank. In: RIVF: 2015 IEEE RIVF International Conference on Computing Communication Technologies - Research, Innovation, and Vision for the Future, 25-28 January 2015, Can Tho, Vietnam.