Mining atomic Chinese abbreviations with a probabilistic single character recovery model |
| |
Authors: | Jing-Shin Chang Wei-Lun Teng |
| |
Affiliation: | (1) Department of Computer Science & Information Engineering, National Chi-Nan University, Puli, Nantou, Taiwan, ROC |
| |
Abstract: | An HMM-based single character recovery (SCR) model is proposed in this paper to extract a large set of atomic abbreviations
and their full forms from a text corpus. By an “atomic abbreviation,” it refers to an abbreviated word consisting of a single
Chinese character. This task is important since Chinese abbreviations cannot be enumerated exhaustively but the abbreviation
process for compound words seems to be compositional. One can often decode an abbreviated word character by character to its full form. With a large atomic abbreviation dictionary,
one may be able to handle multiple character abbreviation problems more easily based on the compositional property of abbreviations. |
| |
Keywords: | Abbreviation Atomic abbreviation Single character recovery model |
本文献已被 SpringerLink 等数据库收录! |