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Please use this identifier to cite or link to this item:
http://hdl.handle.net/1903/1078
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| Title: | Chinese-English Semantic Resource Construction |
| Authors: | Dorr, Bonnie J.
Levow, Gina-Anne
Lin, Dekang
Thomas, Scott |
| Type: | Technical Report |
| Issue Date: | 13-Jun-2000 |
| Series/Report no.: | UM Computer Science Department; CS-TR-4146
UMIACS; UMIACS-TR-2000-27
LAMP-TR-044 |
| Abstract: | We describe an approach to large-scale construction of a semantic lexicon
for Chinese verbs. We leverage off of three existing resources--a
classification of English verbs called EVCA (English Verbs Classes and
Alterations) [Levin, 1993], a Chinese conceptual database called HowNet
[Zhendong, 1988c, Zhendong, 1988b] (http://www.how-net.com), and a large
machine-readable dictionary called Optilex. The resulting lexicon is used
for determining appropriate word senses in applications such as machine
translation and cross-language information retrieval.
(Also cross-referenced as UMIACS-TR-2000-27)
(Also cross-referenced as LAMP-TR-044) |
| URI: | http://hdl.handle.net/1903/1078 |
| Appears in Collections: | Technical Reports of the Computer Science Department
Technical Reports from UMIACS
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