Paper: Word Space Modeling for Measuring Semantic Specificity in Chinese

ACL ID C10-2108
Title Word Space Modeling for Measuring Semantic Specificity in Chinese
Venue International Conference on Computational Linguistics
Session Poster Session
Year 2010
Authors

The aim of this study is to use the word-space model to measure the seman- tic loads of single verbs, profile verbal lexicon acquisition, and explore the se- mantic information on Chinese resulta- tive verb compounds (RVCs). A distri- butional model based on Academia Sinica Balanced Corpus (ASBC) with Latent Se- mantic Analysis (LSA) is built to investi- gate the semantic space variation depend- ing on the semantic loads/specificity. The between group comparison of age-related changes in verb style is then conducted to suggest the influence of semantic space on verbal acquisition. Finally, it demon- strates how meaning exploring on RVCs is done with semantic space.