You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format. However, this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the Department of Computer Science of the University of Maryland at College Park under terms that include this permission. All other rights are reserved by the author(s).
Construction of Chinese-English Semantic Hierarchy for Information. Gina-Anne Levow. Bonnie Dorr. Dekang Lin. June 2000.
This paper describes an approach to large-scale construction of a semantic hierarchy for Chinese verbs. Leveraging off of an existing Chinese conceptual database called HowNet and a Levin-based English verb classification, we use thematic-role information to create links between Chinese concepts and English classes. The resulting hierarchy is used for multilingual lexicons in an English-Chinese cross-language information retrieval application. We demonstrate a structured syntax interface that exploits this large-scale hierarchy and its linkages to WordNet for English-Chinese cross-language information retrieval. (Also cross-referenced asUMIACS-TR-2000-36) (Also cross-referenced as LAMP-TR-043) University of Maryland Institute for Advanced Computer Studies, Department of Computer Science, University of Maryland,
Enhancing Automatic Acquisition of Thematic Structure in a Large-Scale. Mari Broman Olsen. Bonnie Dorr. Scott Thomas. June 1998.
This paper describes a refinement to our procedure for porting lexical conceptual structure into new languages. Specifically we describe a two-step process for creating candidate thematic grids for Mandarin Chinese verbs, using the English verb heading the VP in the subdefinitions to separate senses, and roughly parsing the verb complement structure to match to our thematic structure templates. The procedure is part of a larger process of creating a usable lexicon for interlingual machine translation from a large on-line resource with both too much and too little information necessary for our system. (Also cross-referenced as UMIACS-TR-98-35) University of Maryland Institute for Advanced Computer Studies, Department of Computer Science, University of Maryland,
Last Generated Fri Aug 11 04:01:01 EDT 2000